example_id int64 0 10k | metadata stringlengths 679 723 | classification_prompt stringlengths 4.23k 10.2k | classification_completion stringclasses 14
values | classification_text stringlengths 4.24k 10.2k | improved_signature stringlengths 2.11k 4.25k | improved_model_weights stringlengths 1.76k 5.04k | training_metrics stringlengths 1.46k 2.92k |
|---|---|---|---|---|---|---|---|
0 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2679, "learning_rate": 0.03008896643339405, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.453386,
-0.327474,
-0.157223,
0.456369,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.453386,
-0.327474,
-0.157223,
0.456369,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.292374610900879, "std": 1.8083847761154175}, "1": {"mean": -0.4262273907661438, "std": 1.0915309190750122}, "2": {"mean": -2.284186363220215, "std": 1.4309940338134766}, "3": {"mean": 0.2719416618347168, "std": 1.42266845703125}, "4": {"mean": -0.0505321... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.453386, -0.327474, -0.157223, 0.456369, 0.643735], [0.12622, 0.429... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912154257297516, "train_acc": 0.58, "val_loss": 0.7252156138420105, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6803132891654968, "train_acc": 0.58, "val_loss": 0.7100004553794861, "val... |
1 | {"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9451, "learning_rate": 0.07352170370310572, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.350749,
0.022741,
0.24561,
0.369145,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.350749,
0.022741,
0.24561,
0.369145,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.9417439699172974, "std": 1.5400378704071045}, "1": {"mean": -2.060276746749878, "std": 2.131134033203125}, "2": {"mean": -0.5801698565483093, "std": 0.9943591952323914}, "3": {"mean": -0.0062707290053367615, "std": 1.861390233039856}, "4": {"mean": 2.876... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.350749, 0.022741, 0.24561, 0.369145, 0.543818], [-0.784593, -0.50... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916628181934357, "train_acc": 0.545, "val_loss": 0.6948902606964111, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6612586081027985, "train_acc": 0.56, "val_loss": 0.6322479248046875, "va... |
2 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.019119242316001303, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.306744,
-0.107353,
0.323492,
-0.263617,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.306744,
-0.107353,
0.323492,
-0.263617,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.22598551213741302, "std": 1.1428560018539429}, "1": {"mean": -2.290388584136963, "std": 1.6455649137496948}, "2": {"mean": 0.6365607380867004, "std": 1.2215566635131836}, "3": {"mean": 0.012643260881304741, "std": 1.4309442043304443}, "4": {"mean": 0.097... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.306744, -0.107353, 0.323492, -0.263617, -0.071321], [-0.136755, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7180013060569763, "train_acc": 0.425, "val_loss": 0.6934688091278076, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7019679844379425, "train_acc": 0.425, "val_loss": 0.6853039264678955, "va... |
3 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.76, "improved_accuracy": 0.94, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9806, "learning_rate": 0.070529868... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.8145,
-0.098256,
-0.141614,
-0.480289,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.8145,
-0.098256,
-0.141614,
-0.480289,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.8816006183624268, "std": 2.0165841579437256}, "1": {"mean": 2.492037534713745, "std": 3.588880777359009}, "2": {"mean": -2.543617010116577, "std": 2.2659566402435303}, "3": {"mean": 0.7954368591308594, "std": 3.5682616233825684}, "4": {"mean": -3.286711... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.8145, -0.098256, -0.141614, -0.480289, 0.287535], [1.557012, 0.27... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6726362407207489, "train_acc": 0.635, "val_loss": 0.6981194019317627, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5862091779708862, "train_acc": 0.625, "val_loss": 0.47465336322784424, "... |
4 | {"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.7, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8547, "learning_rate": 0.09278016261... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.109894,
-0.445163,
-0.339718,
-0.422816... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.109894,
-0.445163,
-0.339718,
-0.422816... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.4126944541931152, "std": 1.7069952487945557}, "1": {"mean": -0.18614648282527924, "std": 2.0942070484161377}, "2": {"mean": -4.529231548309326, "std": 3.533923625946045}, "3": {"mean": 1.2260327339172363, "std": 2.609456777572632}, "4": {"mean": -1.5924... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.109894, -0.445163, -0.339718, -0.422816, 0.375594], [1.068691, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689319372177124, "train_acc": 0.56, "val_loss": 0.6855395436286926, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6841188669204712, "train_acc": 0.56, "val_loss": 0.6717982292175293, "val_... |
5 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.64, "improved_accuracy": 0.88, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9859, "learning_rate": 0.015384002471586396, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.554763,
0.117104,
0.334357,
0.124165,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.554763,
0.117104,
0.334357,
0.124165,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.2363301515579224, "std": 1.6034057140350342}, "1": {"mean": -1.978432536125183, "std": 1.4576908349990845}, "2": {"mean": 2.079155206680298, "std": 1.8381322622299194}, "3": {"mean": 0.3079267144203186, "std": 1.5700089931488037}, "4": {"mean": 0.4251878... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.554763, 0.117104, 0.334357, 0.124165, -0.458343], [-0.092501, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6981912553310394, "train_acc": 0.455, "val_loss": 0.6990344524383545, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6930713355541229, "train_acc": 0.495, "val_loss": 0.6893063187599182, "v... |
6 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4854, "learning_rate": 0.09414... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.000826,
-0.651648,
0.075237,
-0.055185,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.000826,
-0.651648,
0.075237,
-0.055185,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.067466974258423, "std": 1.26166570186615}, "1": {"mean": 1.5681030750274658, "std": 2.065995931625366}, "2": {"mean": 0.6968143582344055, "std": 1.4187380075454712}, "3": {"mean": 1.3898323774337769, "std": 1.8198871612548828}, "4": {"mean": 0.265691459... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.000826, -0.651648, 0.075237, -0.055185, -0.17648], [-0.476082, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972275674343109, "train_acc": 0.565, "val_loss": 0.6631535291671753, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6444984972476959, "train_acc": 0.565, "val_loss": 0.5396676063537598, "v... |
7 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4918, "learning_rate": 0.076853579413... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.280282,
-0.546707,
-0.090641,
0.200795,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.280282,
-0.546707,
-0.090641,
0.200795,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.36353254318237305, "std": 1.0592315196990967}, "1": {"mean": 1.8898704051971436, "std": 2.3123626708984375}, "2": {"mean": 2.666966438293457, "std": 2.401641607284546}, "3": {"mean": -3.9452099800109863, "std": 2.0315489768981934}, "4": {"mean": -0.06283... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.280282, -0.546707, -0.090641, 0.200795, 0.204919], [0.414929, 0.42... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6884620189666748, "train_acc": 0.57, "val_loss": 0.7074939012527466, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6810376048088074, "train_acc": 0.57, "val_loss": 0.7025664448738098, "val_... |
8 | {"target_pattern": "has_majority", "degraded_accuracy": 0.38, "improved_accuracy": 0.72, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.093630945... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.118466,
0.047511,
0.178778,
0.273657,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.118466,
0.047511,
0.178778,
0.273657,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.4140007495880127, "std": 2.258681297302246}, "1": {"mean": 1.58168363571167, "std": 1.419268012046814}, "2": {"mean": -1.365020751953125, "std": 1.6887187957763672}, "3": {"mean": -0.7545260190963745, "std": 1.6174200773239136}, "4": {"mean": 1.92871427... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.118466, 0.047511, 0.178778, 0.273657, 0.073636], [-0.26888, 0.236... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6722663342952728, "train_acc": 0.6, "val_loss": 0.7984893918037415, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6570966839790344, "train_acc": 0.6, "val_loss": 0.8252170085906982, "val_a... |
9 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9319, "learning_rate": 0.047208... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.518219,
0.453979,
0.207907,
-0.135294,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.518219,
0.453979,
0.207907,
-0.135294,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.49381667375564575, "std": 1.0681926012039185}, "1": {"mean": 1.76468825340271, "std": 2.242293357849121}, "2": {"mean": -2.017327308654785, "std": 1.514430284500122}, "3": {"mean": 0.17722110450267792, "std": 1.5742701292037964}, "4": {"mean": 2.76182460... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.518219, 0.453979, 0.207907, -0.135294, 0.066146], [0.792622, 0.55... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809704303741455, "train_acc": 0.57, "val_loss": 0.7026543617248535, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687776148319244, "train_acc": 0.57, "val_loss": 0.6631693840026855, "val_... |
10 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9749, "learning_rate": 0.04776131004515171, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.500303,
0.360095,
0.487294,
0.607866,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.500303,
0.360095,
0.487294,
0.607866,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 4.842090606689453, "std": 3.1661813259124756}, "1": {"mean": 1.775374174118042, "std": 2.0782456398010254}, "2": {"mean": 0.4836502969264984, "std": 2.136070489883423}, "3": {"mean": 0.028172820806503296, "std": 1.0468883514404297}, "4": {"mean": 0.4493237... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.500303, 0.360095, 0.487294, 0.607866, 0.848291], [0.550974, 0.6360... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6746063232421875, "train_acc": 0.595, "val_loss": 0.7366824150085449, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757084429264069, "train_acc": 0.595, "val_loss": 0.7434150576591492, "v... |
11 | {"target_pattern": "ends_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1579, "learning_rate": 0.09508480999907651, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.061019,
0.045929,
0.324688,
0.282345,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.061019,
0.045929,
0.324688,
0.282345,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.5520262718200684, "std": 1.9242981672286987}, "1": {"mean": -0.21208716928958893, "std": 1.2459025382995605}, "2": {"mean": 0.91972815990448, "std": 1.7948006391525269}, "3": {"mean": 1.9695864915847778, "std": 2.5374131202697754}, "4": {"mean": 2.954048... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.061019, 0.045929, 0.324688, 0.282345, 0.823829], [0.521457, 0.028... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7276186645030975, "train_acc": 0.575, "val_loss": 0.7131456136703491, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.672491192817688, "train_acc": 0.575, "val_loss": 0.672955334186554, "val_... |
12 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2113, "learning_rate": 0.0493680412770662, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.380167,
-0.076265,
-0.024024,
0.310843,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.380167,
-0.076265,
-0.024024,
0.310843,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5228681564331055, "std": 2.213118076324463}, "1": {"mean": -2.4585673809051514, "std": 1.7554290294647217}, "2": {"mean": 0.38793984055519104, "std": 1.6381019353866577}, "3": {"mean": 0.07925930619239807, "std": 1.667466640472412}, "4": {"mean": 1.45480... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.380167, -0.076265, -0.024024, 0.310843, 1.081954], [0.029359, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7061075866222382, "train_acc": 0.435, "val_loss": 0.6892942786216736, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757219135761261, "train_acc": 0.575, "val_loss": 0.6789021492004395, "v... |
13 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.7, "improved_accuracy": 0.88, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7746, "learning_rate": 0.036877951559... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.688668,
0.186801,
-0.570155,
-0.033674,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.688668,
0.186801,
-0.570155,
-0.033674,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.0282080173492432, "std": 1.97576105594635}, "1": {"mean": -1.578978180885315, "std": 0.9236829280853271}, "2": {"mean": 2.3188045024871826, "std": 1.9009661674499512}, "3": {"mean": 1.2368559837341309, "std": 2.1924784183502197}, "4": {"mean": -1.576336... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.688668, 0.186801, -0.570155, -0.033674, -0.651347], [-0.070155, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6784787476062775, "train_acc": 0.585, "val_loss": 0.7232218384742737, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6760828495025635, "train_acc": 0.585, "val_loss": 0.72896409034729, "val... |
14 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.9, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1822, "learning_rate": 0.04873785800456769, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.03427,
0.254661,
-0.309303,
0.132472,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.03427,
0.254661,
-0.309303,
0.132472,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.1335316151380539, "std": 1.0030187368392944}, "1": {"mean": 2.1653506755828857, "std": 2.2592508792877197}, "2": {"mean": 1.814956784248352, "std": 1.7987096309661865}, "3": {"mean": 1.2056745290756226, "std": 0.8961132168769836}, "4": {"mean": 0.9067291... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.03427, 0.254661, -0.309303, 0.132472, -0.301122], [0.695961, 0.499... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6850249171257019, "train_acc": 0.535, "val_loss": 0.6631926894187927, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5785219073295593, "train_acc": 0.595, "val_loss": 0.6216185092926025, "v... |
15 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6709, "learning_rate": 0.05912918367929151, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.884267,
-0.208205,
-0.084779,
0.211018,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.884267,
-0.208205,
-0.084779,
0.211018,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.5220270156860352, "std": 2.1543471813201904}, "1": {"mean": 1.4922000169754028, "std": 1.9673932790756226}, "2": {"mean": 1.2772918939590454, "std": 1.8315613269805908}, "3": {"mean": -0.8114286661148071, "std": 2.256314992904663}, "4": {"mean": 1.50432... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.884267, -0.208205, -0.084779, 0.211018, 0.543483], [0.080458, 0.8... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.687283992767334, "train_acc": 0.475, "val_loss": 0.5355622172355652, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5482286661863327, "train_acc": 0.555, "val_loss": 0.3604751527309418, "val... |
16 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.66, "improved_accuracy": 0.88, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4346, "learning_rate": 0.05431... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.221801,
0.120518,
-0.752228,
0.269084,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.221801,
0.120518,
-0.752228,
0.269084,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.1155269145965576, "std": 2.258270502090454}, "1": {"mean": 3.1113288402557373, "std": 2.876068115234375}, "2": {"mean": -0.528702974319458, "std": 1.2949503660202026}, "3": {"mean": -2.6392557621002197, "std": 2.5029296875}, "4": {"mean": -0.20275367796... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.221801, 0.120518, -0.752228, 0.269084, -0.838705], [0.733041, 1.08... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.693028599023819, "train_acc": 0.56, "val_loss": 0.6817962527275085, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6749905943870544, "train_acc": 0.57, "val_loss": 0.6475306749343872, "val_... |
17 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3870, "learning_rate": 0.09151... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.535941,
1.153052,
0.099658,
0.018781,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.535941,
1.153052,
0.099658,
0.018781,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.4698426723480225, "std": 2.8155384063720703}, "1": {"mean": 5.581194877624512, "std": 3.927213191986084}, "2": {"mean": 3.434596538543701, "std": 4.298904895782471}, "3": {"mean": -3.0043554306030273, "std": 2.6438748836517334}, "4": {"mean": -1.65353906... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.535941, 1.153052, 0.099658, 0.018781, -0.439558], [0.777389, 1.345... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6753421425819397, "train_acc": 0.59, "val_loss": 0.7774646282196045, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7188772261142731, "train_acc": 0.59, "val_loss": 0.7262320518493652, "val... |
18 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3837, "learning_rate": 0.047130264798538976, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.256777,
-0.081673,
-0.063173,
0.200297,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.256777,
-0.081673,
-0.063173,
0.200297,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.4443214535713196, "std": 0.9851541519165039}, "1": {"mean": -2.0385022163391113, "std": 1.4987704753875732}, "2": {"mean": 2.1502647399902344, "std": 1.5120291709899902}, "3": {"mean": -2.350531578063965, "std": 1.5808738470077515}, "4": {"mean": 0.40550... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.256777, -0.081673, -0.063173, 0.200297, 0.378625], [0.286044, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806881725788116, "train_acc": 0.58, "val_loss": 0.7171047925949097, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6846114099025726, "train_acc": 0.58, "val_loss": 0.716011643409729, "val_... |
19 | {"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.76, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7287, "learning_rate": 0.028993303041424494, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.613526,
0.161081,
0.040643,
0.005424,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.613526,
0.161081,
0.040643,
0.005424,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.2450891733169556, "std": 1.3840514421463013}, "1": {"mean": 1.2221643924713135, "std": 1.4996261596679688}, "2": {"mean": -0.09162581712007523, "std": 0.9759553670883179}, "3": {"mean": 1.5646493434906006, "std": 1.7253482341766357}, "4": {"mean": 0.9192... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.613526, 0.161081, 0.040643, 0.005424, -0.188002], [-0.03748, 0.378... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7199861109256744, "train_acc": 0.4, "val_loss": 0.6649367809295654, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6695752441883087, "train_acc": 0.56, "val_loss": 0.6705575585365295, "val_a... |
20 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.5, "improved_accuracy": 0.78, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9512, "learning_rate": 0.03962298734073777, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.114622,
-0.597415,
-0.171441,
0.2244,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.114622,
-0.597415,
-0.171441,
0.2244,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.2983675003051758, "std": 1.4534224271774292}, "1": {"mean": -0.2704753577709198, "std": 0.943198561668396}, "2": {"mean": 0.1871718317270279, "std": 0.9388812184333801}, "3": {"mean": -0.18880750238895416, "std": 1.5355080366134644}, "4": {"mean": 0.288... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.114622, -0.597415, -0.171441, 0.2244, -0.346049], [0.246656, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6832232773303986, "train_acc": 0.57, "val_loss": 0.7079241871833801, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6881192922592163, "train_acc": 0.57, "val_loss": 0.7041718363761902, "val_... |
21 | {"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1291, "learning_rate": 0.054459516890... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.552136,
-0.005095,
-0.118923,
-0.390887,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.552136,
-0.005095,
-0.118923,
-0.390887,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.0514198541641235, "std": 1.5281647443771362}, "1": {"mean": 1.129559874534607, "std": 1.8287203311920166}, "2": {"mean": 1.92330801486969, "std": 1.9136202335357666}, "3": {"mean": 0.18474602699279785, "std": 1.4790599346160889}, "4": {"mean": -0.458378... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.552136, -0.005095, -0.118923, -0.390887, -0.373516], [-0.063985, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.680371880531311, "train_acc": 0.58, "val_loss": 0.7127236723899841, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6814064681529999, "train_acc": 0.58, "val_loss": 0.6977627277374268, "val_... |
22 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4611, "learning_rate": 0.08701594713422484, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.777008,
-0.589483,
-0.609114,
0.271403,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.777008,
-0.589483,
-0.609114,
0.271403,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.4317489862442017, "std": 1.767917275428772}, "1": {"mean": -2.442411184310913, "std": 2.197715997695923}, "2": {"mean": -2.3633735179901123, "std": 1.8587371110916138}, "3": {"mean": 2.705400228500366, "std": 3.1588306427001953}, "4": {"mean": -3.381046... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.777008, -0.589483, -0.609114, 0.271403, -0.063451], [-0.426557, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7055697441101074, "train_acc": 0.435, "val_loss": 0.6894066333770752, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843611299991608, "train_acc": 0.565, "val_loss": 0.695496678352356, "va... |
23 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.76, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8617, "learning_rate": 0.08422630629161262, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.777374,
-0.014425,
0.14636,
0.10094,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.777374,
-0.014425,
0.14636,
0.10094,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.0437207892537117, "std": 1.570120096206665}, "1": {"mean": 1.8732067346572876, "std": 4.500695705413818}, "2": {"mean": -1.7521021366119385, "std": 2.4156196117401123}, "3": {"mean": -0.5605970621109009, "std": 3.425945997238159}, "4": {"mean": -3.04899... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.777374, -0.014425, 0.14636, 0.10094, 0.29007], [2.109879, 0.46114... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023701071739197, "train_acc": 0.465, "val_loss": 0.7157906889915466, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.676950603723526, "train_acc": 0.575, "val_loss": 0.7114367485046387, "val... |
24 | {"target_pattern": "alternating", "degraded_accuracy": 0.76, "improved_accuracy": 0.92, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5108, "learning_rate": 0.0939943814... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.357416,
-0.521615,
-0.005977,
-0.921485,... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.357416,
-0.521615,
-0.005977,
-0.921485,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.381168842315674, "std": 2.4555535316467285}, "1": {"mean": 0.04383370280265808, "std": 1.2674577236175537}, "2": {"mean": 1.694688081741333, "std": 2.9137518405914307}, "3": {"mean": -1.9400534629821777, "std": 3.138014793395996}, "4": {"mean": 0.781336... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.357416, -0.521615, -0.005977, -0.921485, 0.071411], [-0.620079, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7021216452121735, "train_acc": 0.465, "val_loss": 0.6868687272071838, "val_acc": 0.82}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6724567711353302, "train_acc": 0.78, "val_loss": 0.6092529892921448, "va... |
25 | {"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5499, "learning_rate": 0.079403620... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.0622,
-0.710535,
0.335045,
-0.28516,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.0622,
-0.710535,
0.335045,
-0.28516,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.3657292127609253, "std": 1.6606488227844238}, "1": {"mean": -2.46099591255188, "std": 3.047088146209717}, "2": {"mean": -0.36940431594848633, "std": 2.0808773040771484}, "3": {"mean": -0.8236773014068604, "std": 1.902580738067627}, "4": {"mean": 4.08732... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.0622, -0.710535, 0.335045, -0.28516, -0.150208], [-0.828388, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6861990988254547, "train_acc": 0.57, "val_loss": 0.6828721761703491, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6771780252456665, "train_acc": 0.57, "val_loss": 0.6836917400360107, "val... |
26 | {"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.98, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8389, "learning_rate": 0.07569666252355549, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.534601,
-0.133141,
-0.290869,
-0.269731,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.534601,
-0.133141,
-0.290869,
-0.269731,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0106010437011719, "std": 2.920595407485962}, "1": {"mean": 0.9367702007293701, "std": 2.502119541168213}, "2": {"mean": -2.934882879257202, "std": 1.971968173980713}, "3": {"mean": 0.05443776398897171, "std": 2.3962862491607666}, "4": {"mean": 0.14720641... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.534601, -0.133141, -0.290869, -0.269731, 1.439932], [-0.85496, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7628282308578491, "train_acc": 0.405, "val_loss": 0.6803843975067139, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7023358941078186, "train_acc": 0.46, "val_loss": 0.7462133169174194, "val... |
27 | {"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.94, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1137, "learning_rate": 0.0487697610623... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.769206,
0.364123,
-0.140492,
-0.005657,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.769206,
0.364123,
-0.140492,
-0.005657,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.873488187789917, "std": 2.3634109497070312}, "1": {"mean": 1.4753599166870117, "std": 2.2341036796569824}, "2": {"mean": 1.7044620513916016, "std": 2.5921499729156494}, "3": {"mean": -1.5015161037445068, "std": 1.556685447692871}, "4": {"mean": 1.7684217... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.769206, 0.364123, -0.140492, -0.005657, 1.164295], [0.981335, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7166059911251068, "train_acc": 0.45, "val_loss": 0.6628438830375671, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713255345821381, "train_acc": 0.58, "val_loss": 0.5989896059036255, "val... |
28 | {"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3187, "learning_rate": 0.06433198685419476, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.406466,
-0.205208,
0.158925,
0.212157,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.406466,
-0.205208,
0.158925,
0.212157,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5060360431671143, "std": 2.781303644180298}, "1": {"mean": 0.28555014729499817, "std": 2.3290233612060547}, "2": {"mean": 1.785897970199585, "std": 3.334571123123169}, "3": {"mean": -3.037421226501465, "std": 2.6052157878875732}, "4": {"mean": 1.64146661... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.406466, -0.205208, 0.158925, 0.212157, -0.420606], [0.878167, 0.41... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6846025586128235, "train_acc": 0.575, "val_loss": 0.7219191789627075, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6949425041675568, "train_acc": 0.575, "val_loss": 0.712556779384613, "va... |
29 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2749, "learning_rate": 0.0507007217... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.439606,
0.754286,
-0.533897,
-0.084601,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.439606,
0.754286,
-0.533897,
-0.084601,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0443679094314575, "std": 1.814766764640808}, "1": {"mean": 0.2141888290643692, "std": 1.8821064233779907}, "2": {"mean": 0.5256662964820862, "std": 2.3004047870635986}, "3": {"mean": -0.7574148178100586, "std": 1.2111166715621948}, "4": {"mean": -1.21965... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.439606, 0.754286, -0.533897, -0.084601, 0.050163], [0.923357, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6743853688240051, "train_acc": 0.485, "val_loss": 0.6503248810768127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5935457646846771, "train_acc": 0.56, "val_loss": 0.5797752737998962, "val... |
30 | {"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9304, "learning_rate": 0.04983236602447656, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.661715,
0.474281,
0.299373,
0.116868,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.661715,
0.474281,
0.299373,
0.116868,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.578594446182251, "std": 2.373150587081909}, "1": {"mean": 1.3186062574386597, "std": 1.6918489933013916}, "2": {"mean": 2.13238525390625, "std": 2.137089252471924}, "3": {"mean": 1.9998763799667358, "std": 2.630460262298584}, "4": {"mean": 0.082147523760... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.661715, 0.474281, 0.299373, 0.116868, -0.816163], [-0.611982, 0.30... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.721134215593338, "train_acc": 0.435, "val_loss": 0.684816837310791, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809460520744324, "train_acc": 0.565, "val_loss": 0.6651077270507812, "val... |
31 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.52, "improved_accuracy": 0.68, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9762, "learning_rate": 0.031389... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.195058,
-0.150829,
0.049925,
-0.103648,... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.195058,
-0.150829,
0.049925,
-0.103648,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.586192786693573, "std": 0.5966277122497559}, "1": {"mean": 0.9020617008209229, "std": 1.1060274839401245}, "2": {"mean": 1.2980684041976929, "std": 1.3677568435668945}, "3": {"mean": 0.5942557454109192, "std": 1.287778377532959}, "4": {"mean": -0.558946... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.195058, -0.150829, 0.049925, -0.103648, 0.010121], [-0.338665, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6880340874195099, "train_acc": 0.56, "val_loss": 0.6954350471496582, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6877690255641937, "train_acc": 0.56, "val_loss": 0.6935162544250488, "val... |
32 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3215, "learning_rate": 0.028548... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.041663,
0.699494,
-0.370109,
-0.055518,... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.041663,
0.699494,
-0.370109,
-0.055518,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9248195886611938, "std": 1.3722244501113892}, "1": {"mean": -0.22729536890983582, "std": 1.2599520683288574}, "2": {"mean": 1.4033013582229614, "std": 1.7259942293167114}, "3": {"mean": 1.2671120166778564, "std": 1.6937679052352905}, "4": {"mean": 0.4071... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.041663, 0.699494, -0.370109, -0.055518, 0.37532], [0.415235, 0.04... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6899049580097198, "train_acc": 0.575, "val_loss": 0.7012660503387451, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6806736290454865, "train_acc": 0.575, "val_loss": 0.700400710105896, "va... |
33 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4009, "learning_rate": 0.03724346377980019, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.265516,
-0.251026,
0.591522,
0.411411,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.265516,
-0.251026,
0.591522,
0.411411,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9355916976928711, "std": 1.4171569347381592}, "1": {"mean": 0.9713957905769348, "std": 1.6615076065063477}, "2": {"mean": 2.4349629878997803, "std": 2.07903790473938}, "3": {"mean": 0.396650105714798, "std": 1.455937385559082}, "4": {"mean": 0.4788305461... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.265516, -0.251026, 0.591522, 0.411411, -0.381153], [-0.230099, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6906745433807373, "train_acc": 0.5, "val_loss": 0.6828798055648804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782574653625488, "train_acc": 0.56, "val_loss": 0.6593039035797119, "val_... |
34 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1496, "learning_rate": 0.08248469519525602, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.172558,
-0.393768,
0.16954,
-0.670044,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.172558,
-0.393768,
0.16954,
-0.670044,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.303011655807495, "std": 1.8323994874954224}, "1": {"mean": -4.361388206481934, "std": 2.9425981044769287}, "2": {"mean": 2.449993133544922, "std": 2.9074251651763916}, "3": {"mean": -0.9601002335548401, "std": 2.37519907951355}, "4": {"mean": -2.2798504... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.172558, -0.393768, 0.16954, -0.670044, -0.159902], [-0.582947, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892788410186768, "train_acc": 0.57, "val_loss": 0.6962285041809082, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6852421462535858, "train_acc": 0.57, "val_loss": 0.6955626010894775, "val... |
35 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2876, "learning_rate": 0.052811634834035476, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.293957,
0.751197,
0.155091,
0.110613,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.293957,
0.751197,
0.155091,
0.110613,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.015522003173828, "std": 1.8785865306854248}, "1": {"mean": -1.9111297130584717, "std": 1.376320719718933}, "2": {"mean": 1.0942295789718628, "std": 1.7020294666290283}, "3": {"mean": 2.222410202026367, "std": 2.0720317363739014}, "4": {"mean": 1.05669832... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.293957, 0.751197, 0.155091, 0.110613, -0.281907], [-0.121918, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6671582460403442, "train_acc": 0.585, "val_loss": 0.6770175099372864, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6013821363449097, "train_acc": 0.585, "val_loss": 0.551065981388092, "va... |
36 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.68, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2412, "learning_rate": 0.09693395560... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.252401,
-0.248687,
-0.149186,
0.006539,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.252401,
-0.248687,
-0.149186,
0.006539,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.5022437572479248, "std": 1.195490837097168}, "1": {"mean": 1.2254060506820679, "std": 1.6008412837982178}, "2": {"mean": -1.4555788040161133, "std": 1.5694392919540405}, "3": {"mean": 1.2023670673370361, "std": 1.3355134725570679}, "4": {"mean": 1.16887... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.252401, -0.248687, -0.149186, 0.006539, -0.578357], [0.73124, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7066080868244171, "train_acc": 0.44, "val_loss": 0.6552404761314392, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6120957136154175, "train_acc": 0.575, "val_loss": 0.5087748169898987, "va... |
37 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2079, "learning_rate": 0.0513... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.854196,
-0.092639,
0.41049,
0.089286,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.854196,
-0.092639,
0.41049,
0.089286,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.06337586045265198, "std": 1.8473985195159912}, "1": {"mean": 0.037743061780929565, "std": 1.466372013092041}, "2": {"mean": 0.6261045336723328, "std": 2.0403175354003906}, "3": {"mean": -0.9948616623878479, "std": 2.143571376800537}, "4": {"mean": -3.104... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.854196, -0.092639, 0.41049, 0.089286, 0.423838], [-0.47722, -0.22... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6984262466430664, "train_acc": 0.515, "val_loss": 0.6952366828918457, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6930277645587921, "train_acc": 0.575, "val_loss": 0.7096184492111206, "v... |
38 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.98, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9575, "learning_rate": 0.08435096790732609, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.058801,
-0.948364,
-0.136213,
-0.017235... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.058801,
-0.948364,
-0.136213,
-0.017235... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.9994359016418457, "std": 3.3171472549438477}, "1": {"mean": 6.526100158691406, "std": 4.35648250579834}, "2": {"mean": -3.44838285446167, "std": 4.109977722167969}, "3": {"mean": -3.359675168991089, "std": 3.306323528289795}, "4": {"mean": 2.29623770713... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.058801, -0.948364, -0.136213, -0.017235, 0.56512], [1.090776, 0.9... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7200360596179962, "train_acc": 0.45, "val_loss": 0.6914308071136475, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6960756182670593, "train_acc": 0.53, "val_loss": 0.6599119305610657, "val... |
39 | {"target_pattern": "palindrome", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6322, "learning_rate": 0.045238552165504674, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127541,
0.190585,
0.44547,
-0.128883,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127541,
0.190585,
0.44547,
-0.128883,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.1274690628051758, "std": 1.0211727619171143}, "1": {"mean": 1.6812613010406494, "std": 1.5059459209442139}, "2": {"mean": 0.9886770248413086, "std": 0.8088453412055969}, "3": {"mean": -1.4271458387374878, "std": 1.9082348346710205}, "4": {"mean": 0.61421... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.127541, 0.190585, 0.44547, -0.128883, -0.284474], [0.37781, 0.190... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7326966822147369, "train_acc": 0.445, "val_loss": 0.7142817974090576, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7006776034832001, "train_acc": 0.445, "val_loss": 0.6572497487068176, "v... |
40 | {"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2084, "learning_rate": 0.076130211599... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.388896,
-0.076341,
0.102071,
-0.498515,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.388896,
-0.076341,
0.102071,
-0.498515,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.34949609637260437, "std": 1.547504186630249}, "1": {"mean": 0.8699579238891602, "std": 1.2612584829330444}, "2": {"mean": 1.0863226652145386, "std": 2.2529616355895996}, "3": {"mean": -0.34260427951812744, "std": 1.99899160861969}, "4": {"mean": -3.9831... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.388896, -0.076341, 0.102071, -0.498515, 0.345834], [0.464564, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7116595208644867, "train_acc": 0.43, "val_loss": 0.6481384038925171, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6410282850265503, "train_acc": 0.56, "val_loss": 0.5449063181877136, "val... |
41 | {"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2336, "learning_rate": 0.027281424600688553, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.161891,
0.084214,
0.404687,
0.527906,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.161891,
0.084214,
0.404687,
0.527906,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.243513584136963, "std": 1.508209228515625}, "1": {"mean": -0.9401110410690308, "std": 0.8401045799255371}, "2": {"mean": 0.09529591351747513, "std": 1.583900809288025}, "3": {"mean": -1.1821486949920654, "std": 1.9184192419052124}, "4": {"mean": 0.545462... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.161891, 0.084214, 0.404687, 0.527906, -0.396693], [-0.20482, 0.278... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7025384902954102, "train_acc": 0.435, "val_loss": 0.6880980730056763, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831613183021545, "train_acc": 0.565, "val_loss": 0.6696557402610779, "v... |
42 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7385, "learning_rate": 0.03768603114736421, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.447508,
-0.104747,
0.018937,
0.231872,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.447508,
-0.104747,
0.018937,
0.231872,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.728000521659851, "std": 1.7942140102386475}, "1": {"mean": 0.9472953677177429, "std": 1.6056028604507446}, "2": {"mean": 0.6765860319137573, "std": 1.6865490674972534}, "3": {"mean": 0.2699369788169861, "std": 1.0183229446411133}, "4": {"mean": -1.276278... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.447508, -0.104747, 0.018937, 0.231872, 0.704269], [-0.173712, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6899383366107941, "train_acc": 0.55, "val_loss": 0.669598400592804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6712656021118164, "train_acc": 0.55, "val_loss": 0.6222850680351257, "val_... |
43 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1532, "learning_rate": 0.04147... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.106057,
0.224909,
0.477403,
0.629068,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.106057,
0.224909,
0.477403,
0.629068,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.535428047180176, "std": 1.7680532932281494}, "1": {"mean": -0.5828713178634644, "std": 1.7071107625961304}, "2": {"mean": -0.31184953451156616, "std": 0.9884111285209656}, "3": {"mean": -0.21885405480861664, "std": 1.736469030380249}, "4": {"mean": 0.978... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.106057, 0.224909, 0.477403, 0.629068, -0.313847], [0.427465, 0.00... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7165943086147308, "train_acc": 0.42, "val_loss": 0.6914291381835938, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6895219087600708, "train_acc": 0.48, "val_loss": 0.7171504497528076, "val... |
44 | {"target_pattern": "ends_with", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1221, "learning_rate": 0.069179883006... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.036234,
0.594518,
0.126623,
0.642928,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.036234,
0.594518,
0.126623,
0.642928,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.306869626045227, "std": 2.801839590072632}, "1": {"mean": 1.5579191446304321, "std": 1.7005521059036255}, "2": {"mean": -0.5024024248123169, "std": 1.8554807901382446}, "3": {"mean": -0.7831845879554749, "std": 1.5686702728271484}, "4": {"mean": 2.073467... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.036234, 0.594518, 0.126623, 0.642928, -1.185415], [0.07524, 0.200... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6879914402961731, "train_acc": 0.58, "val_loss": 0.6775883436203003, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.661322832107544, "train_acc": 0.59, "val_loss": 0.6229040026664734, "val_... |
45 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9124, "learning_rate": 0.054503172998... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.358759,
-0.046101,
0.023585,
0.076624,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.358759,
-0.046101,
0.023585,
0.076624,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.1976522207260132, "std": 1.3655877113342285}, "1": {"mean": 1.4448250532150269, "std": 1.6287634372711182}, "2": {"mean": -0.7757440209388733, "std": 1.6300357580184937}, "3": {"mean": -0.39610815048217773, "std": 1.4639804363250732}, "4": {"mean": 0.008... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.358759, -0.046101, 0.023585, 0.076624, 0.544704], [0.244303, 0.053... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7041590809822083, "train_acc": 0.47, "val_loss": 0.6790732741355896, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.632940262556076, "train_acc": 0.58, "val_loss": 0.6592801809310913, "val_... |
46 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.78, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.08356802268... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.464436,
0.059697,
-0.060857,
0.008878,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.464436,
0.059697,
-0.060857,
0.008878,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.3129596710205078, "std": 1.7829675674438477}, "1": {"mean": 4.083064556121826, "std": 3.264899969100952}, "2": {"mean": -1.7398416996002197, "std": 1.1514391899108887}, "3": {"mean": -1.7576007843017578, "std": 2.229245901107788}, "4": {"mean": -3.73554... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.464436, 0.059697, -0.060857, 0.008878, -0.718214], [0.927893, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7139422595500946, "train_acc": 0.425, "val_loss": 0.6979189515113831, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6939050257205963, "train_acc": 0.575, "val_loss": 0.7200202941894531, "v... |
47 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8890, "learning_rate": 0.024940936964749232,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.356782,
-0.114368,
0.388695,
0.0225,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.356782,
-0.114368,
0.388695,
0.0225,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7145472168922424, "std": 0.9245082139968872}, "1": {"mean": -1.7988641262054443, "std": 1.1447813510894775}, "2": {"mean": 0.4489181935787201, "std": 1.5125256776809692}, "3": {"mean": -2.2251551151275635, "std": 1.3377562761306763}, "4": {"mean": 0.5678... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.356782, -0.114368, 0.388695, 0.0225, 0.07697], [-0.258201, 0.1720... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6983940899372101, "train_acc": 0.445, "val_loss": 0.6842834949493408, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819095015525818, "train_acc": 0.555, "val_loss": 0.6789032816886902, "v... |
48 | {"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.84, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1794, "learning_rate": 0.0453076753... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.518453,
0.348498,
0.149584,
0.18818,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.518453,
0.348498,
0.149584,
0.18818,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4175111055374146, "std": 1.5917062759399414}, "1": {"mean": -0.7739226222038269, "std": 2.2681829929351807}, "2": {"mean": -1.6545730829238892, "std": 1.481935977935791}, "3": {"mean": 2.028987407684326, "std": 1.6830211877822876}, "4": {"mean": 2.460656... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.518453, 0.348498, 0.149584, 0.18818, -0.234792], [-0.150008, 0.079... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6798089444637299, "train_acc": 0.58, "val_loss": 0.7518340945243835, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7109754383563995, "train_acc": 0.58, "val_loss": 0.7642511129379272, "val... |
49 | {"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3911, "learning_rate": 0.03942708661... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.225213,
-0.595051,
-0.593457,
0.099706,... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.225213,
-0.595051,
-0.593457,
0.099706,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.6442956924438477, "std": 2.3473217487335205}, "1": {"mean": 1.7367438077926636, "std": 1.6567453145980835}, "2": {"mean": 2.1905357837677, "std": 1.699423909187317}, "3": {"mean": -0.16811810433864594, "std": 1.4658018350601196}, "4": {"mean": 1.1055306... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.225213, -0.595051, -0.593457, 0.099706, -0.551871], [-0.072744, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851120293140411, "train_acc": 0.58, "val_loss": 0.7199480533599854, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6677788496017456, "train_acc": 0.58, "val_loss": 0.7104914784431458, "val... |
50 | {"target_pattern": "palindrome", "degraded_accuracy": 0.38, "improved_accuracy": 0.98, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8776, "learning_rate": 0.0354662552402799, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.074786,
-0.244822,
-0.106781,
0.225961,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.074786,
-0.244822,
-0.106781,
0.225961,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7181571125984192, "std": 1.5078222751617432}, "1": {"mean": 1.4353917837142944, "std": 1.44180428981781}, "2": {"mean": 0.9182223081588745, "std": 1.5644007921218872}, "3": {"mean": -0.012455434538424015, "std": 1.4901118278503418}, "4": {"mean": -0.0123... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.074786, -0.244822, -0.106781, 0.225961, 0.729673], [0.677415, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802124381065369, "train_acc": 0.605, "val_loss": 0.7295581698417664, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.666690319776535, "train_acc": 0.605, "val_loss": 0.7070908546447754, "va... |
51 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.66, "improved_accuracy": 0.84, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1955, "learning_rate": 0.09855... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.505764,
-0.750362,
0.341107,
0.516758,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.505764,
-0.750362,
0.341107,
0.516758,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.130983829498291, "std": 2.0998923778533936}, "1": {"mean": -2.4375882148742676, "std": 1.8673007488250732}, "2": {"mean": 1.631278157234192, "std": 3.3116767406463623}, "3": {"mean": -2.3820176124572754, "std": 4.603977203369141}, "4": {"mean": -3.55165... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.505764, -0.750362, 0.341107, 0.516758, -0.484932], [-0.299606, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6877061426639557, "train_acc": 0.565, "val_loss": 0.6857731342315674, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6883341073989868, "train_acc": 0.565, "val_loss": 0.6857035160064697, "v... |
52 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5360, "learning_rate": 0.0885264373... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.629613,
0.388033,
0.436823,
0.421994,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.629613,
0.388033,
0.436823,
0.421994,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.6013174057006836, "std": 4.068793296813965}, "1": {"mean": 4.619618892669678, "std": 4.700958251953125}, "2": {"mean": 2.7465968132019043, "std": 3.7080745697021484}, "3": {"mean": 1.1172387599945068, "std": 3.8466224670410156}, "4": {"mean": -1.89035880... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.629613, 0.388033, 0.436823, 0.421994, -0.050135], [1.792086, 0.378... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.700906902551651, "train_acc": 0.435, "val_loss": 0.692647397518158, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6685549914836884, "train_acc": 0.565, "val_loss": 0.7511438131332397, "val_... |
53 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9169, "learning_rate": 0.02856298291... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.065299,
-0.074194,
-0.10302,
-0.29292,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.065299,
-0.074194,
-0.10302,
-0.29292,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.2504818439483643, "std": 1.1865822076797485}, "1": {"mean": 1.1986956596374512, "std": 1.5228615999221802}, "2": {"mean": 0.12759336829185486, "std": 1.9977995157241821}, "3": {"mean": -0.0718405544757843, "std": 1.6750794649124146}, "4": {"mean": 0.985... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.065299, -0.074194, -0.10302, -0.29292, -0.460209], [-0.626203, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6870701909065247, "train_acc": 0.555, "val_loss": 0.6929000616073608, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6878697276115417, "train_acc": 0.555, "val_loss": 0.687052309513092, "va... |
54 | {"target_pattern": "has_majority", "degraded_accuracy": 0.48, "improved_accuracy": 0.78, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7506, "learning_rate": 0.059751365... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.327549,
-1.083559,
0.380645,
0.18442,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.327549,
-1.083559,
0.380645,
0.18442,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.321295976638794, "std": 2.2527780532836914}, "1": {"mean": 2.1032261848449707, "std": 1.6560808420181274}, "2": {"mean": 1.0518416166305542, "std": 1.5289374589920044}, "3": {"mean": -3.0264267921447754, "std": 2.395587921142578}, "4": {"mean": -0.86055... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.327549, -1.083559, 0.380645, 0.18442, -0.91056], [0.089496, 0.4978... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.682339608669281, "train_acc": 0.56, "val_loss": 0.7184015512466431, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837696433067322, "train_acc": 0.56, "val_loss": 0.6920127868652344, "val_... |
55 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.74, "improved_accuracy": 0.94, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2026, "learning_rate": 0.0333... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.462254,
-0.47006,
-0.014951,
-0.48518,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.462254,
-0.47006,
-0.014951,
-0.48518,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.973755121231079, "std": 2.206943988800049}, "1": {"mean": -0.19570527970790863, "std": 1.7314003705978394}, "2": {"mean": 1.5418806076049805, "std": 1.381870150566101}, "3": {"mean": 0.4579584002494812, "std": 0.9205945134162903}, "4": {"mean": 1.692800... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.462254, -0.47006, -0.014951, -0.48518, -0.430504], [-0.020587, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6975021660327911, "train_acc": 0.465, "val_loss": 0.6671959161758423, "val_acc": 0.72}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6571891009807587, "train_acc": 0.655, "val_loss": 0.6217471957206726, "v... |
56 | {"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.72, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5859, "learning_rate": 0.048405008... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.873055,
0.2277,
0.006831,
0.683613,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.873055,
0.2277,
0.006831,
0.683613,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.3492512106895447, "std": 2.343874216079712}, "1": {"mean": 2.629497766494751, "std": 2.1435365676879883}, "2": {"mean": -0.12975674867630005, "std": 2.2913336753845215}, "3": {"mean": -1.9518154859542847, "std": 1.5469236373901367}, "4": {"mean": 2.75544... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.873055, 0.2277, 0.006831, 0.683613, 0.127053], [-0.16345, 0.40288... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7145660817623138, "train_acc": 0.44, "val_loss": 0.6976159811019897, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6966623067855835, "train_acc": 0.46, "val_loss": 0.6863939166069031, "val... |
57 | {"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8445, "learning_rate": 0.0900491174... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.28555,
-0.585842,
-0.75365,
0.223227,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.28555,
-0.585842,
-0.75365,
0.223227,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.2335736751556396, "std": 1.9365100860595703}, "1": {"mean": -0.35858154296875, "std": 1.4756832122802734}, "2": {"mean": 2.697490692138672, "std": 1.659237265586853}, "3": {"mean": 3.285757541656494, "std": 2.2641823291778564}, "4": {"mean": -0.61705332... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.28555, -0.585842, -0.75365, 0.223227, -0.318473], [0.390674, -0.54... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828401982784271, "train_acc": 0.56, "val_loss": 0.7498663067817688, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6914920210838318, "train_acc": 0.605, "val_loss": 0.6856942176818848, "va... |
58 | {"target_pattern": "starts_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.78, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5609, "learning_rate": 0.0415505061... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.246983,
0.341007,
0.148561,
-0.084657,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.246983,
0.341007,
0.148561,
-0.084657,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7538942098617554, "std": 2.8716847896575928}, "1": {"mean": 0.05654513090848923, "std": 1.8955243825912476}, "2": {"mean": 1.4875693321228027, "std": 2.432124137878418}, "3": {"mean": -0.2055034041404724, "std": 1.5763219594955444}, "4": {"mean": 1.93908... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.246983, 0.341007, 0.148561, -0.084657, -0.310803], [0.3511, 0.1820... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6971242725849152, "train_acc": 0.46, "val_loss": 0.6922775506973267, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6808365881443024, "train_acc": 0.58, "val_loss": 0.6968615055084229, "val_... |
59 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.78, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1410, "learning_rate": 0.019232916103823, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.281097,
-0.330408,
-0.367369,
0.011163,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.281097,
-0.330408,
-0.367369,
0.011163,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.927869200706482, "std": 1.5646848678588867}, "1": {"mean": 0.9068633913993835, "std": 1.218648910522461}, "2": {"mean": 1.5846084356307983, "std": 1.5455116033554077}, "3": {"mean": 1.210744857788086, "std": 1.4270687103271484}, "4": {"mean": 0.28561207... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.281097, -0.330408, -0.367369, 0.011163, -0.294451], [-0.102478, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6791651844978333, "train_acc": 0.575, "val_loss": 0.691916823387146, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6844940781593323, "train_acc": 0.575, "val_loss": 0.6919187903404236, "va... |
60 | {"target_pattern": "palindrome", "degraded_accuracy": 0.7, "improved_accuracy": 0.86, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2987, "learning_rate": 0.010222368647... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.139311,
0.193202,
0.446278,
0.006448,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.139311,
0.193202,
0.446278,
0.006448,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.9979122877120972, "std": 1.1575567722320557}, "1": {"mean": 0.6810385584831238, "std": 1.3752096891403198}, "2": {"mean": 0.49272674322128296, "std": 1.2005114555358887}, "3": {"mean": 0.9676339626312256, "std": 1.451462984085083}, "4": {"mean": 1.242328... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.139311, 0.193202, 0.446278, 0.006448, 0.021003], [-0.201127, 0.440... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7098904848098755, "train_acc": 0.425, "val_loss": 0.6973536014556885, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.698693186044693, "train_acc": 0.425, "val_loss": 0.6905290484428406, "va... |
61 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3433, "learning_rate": 0.016118345119958435, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.71615,
-0.005497,
-0.115038,
0.415195,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.71615,
-0.005497,
-0.115038,
0.415195,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.349550485610962, "std": 1.6808226108551025}, "1": {"mean": -2.2341108322143555, "std": 1.7380950450897217}, "2": {"mean": 0.2102196365594864, "std": 1.1470403671264648}, "3": {"mean": 3.591362953186035, "std": 2.435863494873047}, "4": {"mean": -0.5155873... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.71615, -0.005497, -0.115038, 0.415195, 0.144202], [-0.402463, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7291630506515503, "train_acc": 0.445, "val_loss": 0.705742597579956, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7045414447784424, "train_acc": 0.445, "val_loss": 0.6868487000465393, "va... |
62 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9301, "learning_rate": 0.0794152084668348, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.244199,
0.019227,
-0.652825,
0.497861,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.244199,
0.019227,
-0.652825,
0.497861,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.6694602370262146, "std": 1.8547303676605225}, "1": {"mean": -0.8338971734046936, "std": 1.297849178314209}, "2": {"mean": 0.18215273320674896, "std": 1.943905234336853}, "3": {"mean": -0.45450302958488464, "std": 1.2207273244857788}, "4": {"mean": 1.028... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.244199, 0.019227, -0.652825, 0.497861, -0.087845], [-0.53077, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6899471879005432, "train_acc": 0.555, "val_loss": 0.7204413414001465, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6566338241100311, "train_acc": 0.58, "val_loss": 0.6797667145729065, "va... |
63 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.76, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8264, "learning_rate": 0.06745739206568764, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.061712,
-0.572723,
0.141541,
0.068523,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.061712,
-0.572723,
0.141541,
0.068523,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.0097001791000366, "std": 2.8525354862213135}, "1": {"mean": 0.37558504939079285, "std": 2.345353126525879}, "2": {"mean": -2.564209222793579, "std": 1.7299184799194336}, "3": {"mean": -0.36510810256004333, "std": 1.4884445667266846}, "4": {"mean": -3.42... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.061712, -0.572723, 0.141541, 0.068523, 0.816453], [-0.749255, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6807601451873779, "train_acc": 0.575, "val_loss": 0.7482194304466248, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6847920417785645, "train_acc": 0.575, "val_loss": 0.6960969567298889, "v... |
64 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.86, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7048, "learning_rate": 0.04198... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.010575,
-0.416981,
-0.255672,
-0.167333... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.010575,
-0.416981,
-0.255672,
-0.167333... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.707604169845581, "std": 1.1667653322219849}, "1": {"mean": 2.599398374557495, "std": 2.441354274749756}, "2": {"mean": -1.817112922668457, "std": 1.1262545585632324}, "3": {"mean": 0.5820006728172302, "std": 1.3863544464111328}, "4": {"mean": -3.4013054... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.010575, -0.416981, -0.255672, -0.167333, -0.042616], [0.805166, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801446974277496, "train_acc": 0.59, "val_loss": 0.7243406772613525, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6557194292545319, "train_acc": 0.59, "val_loss": 0.6747613549232483, "val... |
65 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1250, "learning_rate": 0.05465... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.934934,
-0.260922,
0.026911,
0.384486,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.934934,
-0.260922,
0.026911,
0.384486,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5704216957092285, "std": 2.5156853199005127}, "1": {"mean": 0.7881875038146973, "std": 1.785628080368042}, "2": {"mean": 2.6258020401000977, "std": 2.377140998840332}, "3": {"mean": -1.6122227907180786, "std": 1.1623536348342896}, "4": {"mean": 3.6274235... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.934934, -0.260922, 0.026911, 0.384486, 0.771448], [0.550521, 0.63... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7019431293010712, "train_acc": 0.42, "val_loss": 0.6993151903152466, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6928939819335938, "train_acc": 0.575, "val_loss": 0.7065917253494263, "va... |
66 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6942, "learning_rate": 0.03981... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.227079,
0.557429,
0.459927,
0.619559,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.227079,
0.557429,
0.459927,
0.619559,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 4.168975830078125, "std": 2.551262378692627}, "1": {"mean": 0.6808246374130249, "std": 1.2749183177947998}, "2": {"mean": 0.9284204244613647, "std": 1.1650919914245605}, "3": {"mean": -2.529697895050049, "std": 2.158403158187866}, "4": {"mean": -0.16689094... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.227079, 0.557429, 0.459927, 0.619559, 0.328868], [0.251918, 0.5674... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6840048432350159, "train_acc": 0.59, "val_loss": 0.7063709497451782, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.654735803604126, "train_acc": 0.59, "val_loss": 0.5990546941757202, "val_... |
67 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9339, "learning_rate": 0.028907412749536947, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.598627,
-0.168119,
0.269685,
0.461029,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.598627,
-0.168119,
0.269685,
0.461029,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9078983664512634, "std": 1.6207081079483032}, "1": {"mean": 0.8302294611930847, "std": 1.5617989301681519}, "2": {"mean": 0.1006924957036972, "std": 1.2943083047866821}, "3": {"mean": 0.7657259702682495, "std": 1.5050106048583984}, "4": {"mean": 1.495150... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.598627, -0.168119, 0.269685, 0.461029, -0.231523], [-0.624035, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6811582744121552, "train_acc": 0.585, "val_loss": 0.7202267646789551, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6768019795417786, "train_acc": 0.585, "val_loss": 0.7056785821914673, "v... |
68 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6958, "learning_rate": 0.08815082734579661, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.130869,
0.008595,
-0.045251,
-0.321412,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.130869,
0.008595,
-0.045251,
-0.321412,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.6621410846710205, "std": 2.9579949378967285}, "1": {"mean": 0.007392088416963816, "std": 2.4180612564086914}, "2": {"mean": -3.1684467792510986, "std": 1.8699289560317993}, "3": {"mean": 0.9526515603065491, "std": 2.462303638458252}, "4": {"mean": -0.426... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.130869, 0.008595, -0.045251, -0.321412, 0.790633], [0.621127, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7229806780815125, "train_acc": 0.405, "val_loss": 0.6952873468399048, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6766420602798462, "train_acc": 0.595, "val_loss": 0.7286233305931091, "v... |
69 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.98, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7617, "learning_rate": 0.01839529955470709, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.101556,
-0.161518,
0.153132,
-0.149328,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.101556,
-0.161518,
0.153132,
-0.149328,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.4107673168182373, "std": 0.795711100101471}, "1": {"mean": -0.19462719559669495, "std": 1.0856660604476929}, "2": {"mean": 0.7494298219680786, "std": 0.9897957444190979}, "3": {"mean": 0.9054874777793884, "std": 1.5737144947052002}, "4": {"mean": -0.5987... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.101556, -0.161518, 0.153132, -0.149328, 0.307934], [-0.292583, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6925990581512451, "train_acc": 0.55, "val_loss": 0.6800563931465149, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6862382292747498, "train_acc": 0.55, "val_loss": 0.6720321774482727, "val... |
70 | {"target_pattern": "has_majority", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7511, "learning_rate": 0.058202799735515814, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.232249,
-0.089599,
-0.381569,
-0.124121... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.232249,
-0.089599,
-0.381569,
-0.124121... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.185612440109253, "std": 1.1929796934127808}, "1": {"mean": -0.7529614567756653, "std": 2.037384510040283}, "2": {"mean": -0.6102674007415771, "std": 3.509291648864746}, "3": {"mean": -0.3977254629135132, "std": 1.4237933158874512}, "4": {"mean": 2.60154... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.232249, -0.089599, -0.381569, -0.124121, -0.138739], [0.445523, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6921209990978241, "train_acc": 0.475, "val_loss": 0.7133306860923767, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6447307169437408, "train_acc": 0.595, "val_loss": 0.8337544798851013, "v... |
71 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.8, "improved_accuracy": 0.98, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1256, "learning_rate": 0.06504... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.596685,
0.037322,
0.551303,
0.373688,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.596685,
0.037322,
0.551303,
0.373688,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7499916553497314, "std": 1.5974535942077637}, "1": {"mean": 1.627971887588501, "std": 1.909696340560913}, "2": {"mean": 0.5395708680152893, "std": 0.9913590550422668}, "3": {"mean": -1.8311598300933838, "std": 1.4615031480789185}, "4": {"mean": -0.216310... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.596685, 0.037322, 0.551303, 0.373688, 0.039439], [0.748693, 0.477... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7026453018188477, "train_acc": 0.445, "val_loss": 0.6509823799133301, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6007198393344879, "train_acc": 0.575, "val_loss": 0.39959633350372314, "... |
72 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.82, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2617, "learning_rate": 0.036719... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.061402,
-0.539979,
-0.301582,
0.062127,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.061402,
-0.539979,
-0.301582,
0.062127,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.9024193286895752, "std": 1.5326627492904663}, "1": {"mean": -1.3047659397125244, "std": 1.6572279930114746}, "2": {"mean": 0.20886731147766113, "std": 1.2013740539550781}, "3": {"mean": 0.613108217716217, "std": 1.4617215394973755}, "4": {"mean": 2.0092... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.061402, -0.539979, -0.301582, 0.062127, -0.382179], [-0.526495, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7008177042007446, "train_acc": 0.425, "val_loss": 0.6946905255317688, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6875532865524292, "train_acc": 0.565, "val_loss": 0.6974939703941345, "va... |
73 | {"target_pattern": "ends_with", "degraded_accuracy": 0.82, "improved_accuracy": 0.98, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7357, "learning_rate": 0.031388194995... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.11614,
-0.250507,
-0.445288,
-0.3068,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.11614,
-0.250507,
-0.445288,
-0.3068,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.0822465419769287, "std": 1.7783317565917969}, "1": {"mean": -2.674818277359009, "std": 1.6582499742507935}, "2": {"mean": 2.0509467124938965, "std": 2.4686615467071533}, "3": {"mean": -0.04798635467886925, "std": 2.200460433959961}, "4": {"mean": 1.1826... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.11614, -0.250507, -0.445288, -0.3068, -0.435114], [-0.1747, -0.36... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6865295767784119, "train_acc": 0.555, "val_loss": 0.6825147271156311, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6845723390579224, "train_acc": 0.555, "val_loss": 0.6742857098579407, "v... |
74 | {"target_pattern": "palindrome", "degraded_accuracy": 0.42, "improved_accuracy": 0.82, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4610, "learning_rate": 0.08295789265... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.48428,
-0.609024,
-0.346179,
-0.552948,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.48428,
-0.609024,
-0.346179,
-0.552948,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -4.800682544708252, "std": 2.8558802604675293}, "1": {"mean": -2.745393753051758, "std": 2.1407079696655273}, "2": {"mean": 0.6984453797340393, "std": 2.53678035736084}, "3": {"mean": 2.8678171634674072, "std": 2.7407803535461426}, "4": {"mean": -2.8196618... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.48428, -0.609024, -0.346179, -0.552948, -0.523895], [-0.510588, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6874214112758636, "train_acc": 0.49, "val_loss": 0.7716602087020874, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6611721217632294, "train_acc": 0.6, "val_loss": 0.7713565230369568, "val_... |
75 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.0480... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.844859,
-0.023205,
0.47482,
0.245639,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.844859,
-0.023205,
0.47482,
0.245639,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9499794840812683, "std": 1.834904670715332}, "1": {"mean": 0.7029789686203003, "std": 1.476585865020752}, "2": {"mean": -0.3013155162334442, "std": 1.6108930110931396}, "3": {"mean": -1.447674036026001, "std": 0.8849315047264099}, "4": {"mean": 0.7167618... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.844859, -0.023205, 0.47482, 0.245639, 0.262515], [-0.448159, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6812075972557068, "train_acc": 0.55, "val_loss": 0.6776921153068542, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.652889758348465, "train_acc": 0.57, "val_loss": 0.5907169580459595, "val_... |
76 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2865, "learning_rate": 0.055761... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.099245,
0.486098,
0.242806,
-0.053553,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.099245,
0.486098,
0.242806,
-0.053553,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.409517288208008, "std": 1.4997912645339966}, "1": {"mean": 1.343443751335144, "std": 1.8991668224334717}, "2": {"mean": -2.2597405910491943, "std": 1.630169153213501}, "3": {"mean": 3.5132360458374023, "std": 2.596536159515381}, "4": {"mean": 0.604841887... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.099245, 0.486098, 0.242806, -0.053553, 0.576238], [-0.730475, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7060195505619049, "train_acc": 0.435, "val_loss": 0.6883154511451721, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6808478236198425, "train_acc": 0.565, "val_loss": 0.6605987548828125, "v... |
77 | {"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8119, "learning_rate": 0.0660257366... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.014773,
0.812287,
0.294554,
0.388113,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.014773,
0.812287,
0.294554,
0.388113,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.9894800186157227, "std": 2.2486584186553955}, "1": {"mean": -0.875679075717926, "std": 2.184077024459839}, "2": {"mean": 0.4879828989505768, "std": 2.1779625415802}, "3": {"mean": -1.4101804494857788, "std": 3.0309274196624756}, "4": {"mean": 0.316929847... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.014773, 0.812287, 0.294554, 0.388113, 0.332324], [0.329683, -0.49... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851904690265656, "train_acc": 0.555, "val_loss": 0.6799935102462769, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713716089725494, "train_acc": 0.565, "val_loss": 0.6291624307632446, "v... |
78 | {"target_pattern": "alternating", "degraded_accuracy": 0.38, "improved_accuracy": 0.96, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8435, "learning_rate": 0.054455867399290744, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.472688,
0.24737,
-0.115025,
-0.27982,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.472688,
0.24737,
-0.115025,
-0.27982,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5134892463684082, "std": 1.758934497833252}, "1": {"mean": 2.235792875289917, "std": 1.9166117906570435}, "2": {"mean": 2.6979777812957764, "std": 2.475611686706543}, "3": {"mean": -0.035598088055849075, "std": 1.869378685951233}, "4": {"mean": -1.108858... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.472688, 0.24737, -0.115025, -0.27982, 0.662111], [0.514092, -0.107... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6780340373516083, "train_acc": 0.605, "val_loss": 0.7786078453063965, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6730801165103912, "train_acc": 0.605, "val_loss": 0.771048903465271, "va... |
79 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8999, "learning_rate": 0.06938211819600233, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.047162,
-0.605288,
0.897573,
-0.532729,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.047162,
-0.605288,
0.897573,
-0.532729,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.17250512540340424, "std": 2.3435375690460205}, "1": {"mean": -0.3334706425666809, "std": 0.9907978773117065}, "2": {"mean": 1.5229953527450562, "std": 2.1222007274627686}, "3": {"mean": -1.1873506307601929, "std": 1.2731447219848633}, "4": {"mean": 1.458... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.047162, -0.605288, 0.897573, -0.532729, 0.085031], [-0.249808, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7064076066017151, "train_acc": 0.45, "val_loss": 0.6611549258232117, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6092204451560974, "train_acc": 0.575, "val_loss": 0.5134315490722656, "va... |
80 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.76, "improved_accuracy": 0.92, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4020, "learning_rate": 0.065808258... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.994256,
0.102341,
0.442418,
0.476359,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.994256,
0.102341,
0.442418,
0.476359,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.8710858821868896, "std": 2.6071479320526123}, "1": {"mean": 0.49291571974754333, "std": 1.7135555744171143}, "2": {"mean": -1.5228488445281982, "std": 2.0833234786987305}, "3": {"mean": -2.290308952331543, "std": 1.9567811489105225}, "4": {"mean": 0.3752... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.994256, 0.102341, 0.442418, 0.476359, -0.227079], [0.464053, 0.107... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828865110874176, "train_acc": 0.445, "val_loss": 0.7071729898452759, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5615401566028595, "train_acc": 0.615, "val_loss": 0.6308145523071289, "v... |
81 | {"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8736, "learning_rate": 0.08073496747622153, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.03626,
0.686585,
-0.238537,
0.536402,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.03626,
0.686585,
-0.238537,
0.536402,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.4927659034729004, "std": 2.100118398666382}, "1": {"mean": 2.5305325984954834, "std": 1.4052588939666748}, "2": {"mean": 1.6643673181533813, "std": 1.394842267036438}, "3": {"mean": -3.6875247955322266, "std": 2.321223258972168}, "4": {"mean": 0.34229999... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.03626, 0.686585, -0.238537, 0.536402, 0.422908], [-0.077734, 0.04... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6974546313285828, "train_acc": 0.56, "val_loss": 0.7094525098800659, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6709895730018616, "train_acc": 0.58, "val_loss": 0.6398505568504333, "val... |
82 | {"target_pattern": "has_majority", "degraded_accuracy": 0.4, "improved_accuracy": 0.62, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8497, "learning_rate": 0.0941693188... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.170991,
0.210213,
0.435689,
0.500816,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.170991,
0.210213,
0.435689,
0.500816,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.8774192333221436, "std": 1.5186001062393188}, "1": {"mean": 1.9490315914154053, "std": 1.8723316192626953}, "2": {"mean": 1.7483223676681519, "std": 1.3730934858322144}, "3": {"mean": 1.8646811246871948, "std": 1.7944082021713257}, "4": {"mean": -3.11815... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.170991, 0.210213, 0.435689, 0.500816, 0.029244], [-0.47366, 0.319... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7190490067005157, "train_acc": 0.48, "val_loss": 0.8147441744804382, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6587834060192108, "train_acc": 0.605, "val_loss": 0.7162363529205322, "val... |
83 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.94, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8766, "learning_rate": 0.019359... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.184047,
-0.039629,
0.044728,
0.08603,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.184047,
-0.039629,
0.044728,
0.08603,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.4666631817817688, "std": 0.4332684278488159}, "1": {"mean": -2.5771758556365967, "std": 1.5108717679977417}, "2": {"mean": -1.9567675590515137, "std": 1.3962513208389282}, "3": {"mean": 1.5020948648452759, "std": 1.5949801206588745}, "4": {"mean": 1.1875... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.184047, -0.039629, 0.044728, 0.08603, 0.067646], [0.09476, -0.077... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801854968070984, "train_acc": 0.545, "val_loss": 0.6367703080177307, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6493808627128601, "train_acc": 0.545, "val_loss": 0.5821906328201294, "va... |
84 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4872, "learning_rate": 0.02525... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.050953,
0.219824,
-0.198177,
0.138842,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.050953,
0.219824,
-0.198177,
0.138842,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.45219099521636963, "std": 0.87277752161026}, "1": {"mean": 0.522512674331665, "std": 0.920527994632721}, "2": {"mean": -0.09244916588068008, "std": 1.4335612058639526}, "3": {"mean": 0.39864838123321533, "std": 1.3685606718063354}, "4": {"mean": 1.94793... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.050953, 0.219824, -0.198177, 0.138842, -0.28977], [-0.201327, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909658908843994, "train_acc": 0.57, "val_loss": 0.713081955909729, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6795890629291534, "train_acc": 0.57, "val_loss": 0.7016735076904297, "val_... |
85 | {"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.76, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7384, "learning_rate": 0.0908679592276421, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.042772,
-0.396263,
-0.127488,
-0.243888,... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.042772,
-0.396263,
-0.127488,
-0.243888,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.296644687652588, "std": 2.160950183868408}, "1": {"mean": 1.7899527549743652, "std": 2.7335965633392334}, "2": {"mean": -3.7836782932281494, "std": 2.4717326164245605}, "3": {"mean": 4.471925258636475, "std": 3.6248960494995117}, "4": {"mean": -3.649806... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.042772, -0.396263, -0.127488, -0.243888, -0.959034], [1.192559, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6908726394176483, "train_acc": 0.445, "val_loss": 0.7261789441108704, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6669046580791473, "train_acc": 0.595, "val_loss": 0.7484025359153748, "v... |
86 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6959, "learning_rate": 0.022836103578526626, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.325131,
0.061185,
-0.156452,
-0.445581,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.325131,
0.061185,
-0.156452,
-0.445581,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.523252248764038, "std": 1.1149283647537231}, "1": {"mean": 0.6286070346832275, "std": 1.5332450866699219}, "2": {"mean": 1.6930261850357056, "std": 1.6477594375610352}, "3": {"mean": 0.11730454862117767, "std": 0.9608912467956543}, "4": {"mean": 1.04231... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.325131, 0.061185, -0.156452, -0.445581, 0.184552], [0.820913, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972120106220245, "train_acc": 0.575, "val_loss": 0.738274335861206, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6807197630405426, "train_acc": 0.575, "val_loss": 0.7249124646186829, "va... |
87 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.038871271727713465, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.35232,
0.106539,
0.070167,
0.150647,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.35232,
0.106539,
0.070167,
0.150647,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0705734491348267, "std": 1.0404592752456665}, "1": {"mean": -3.1268856525421143, "std": 2.2113327980041504}, "2": {"mean": 1.784087061882019, "std": 1.5658318996429443}, "3": {"mean": -2.0281856060028076, "std": 1.3718196153640747}, "4": {"mean": 0.76391... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.35232, 0.106539, 0.070167, 0.150647, 0.41126], [-0.410732, -0.492... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6924565136432648, "train_acc": 0.575, "val_loss": 0.7096797227859497, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6747271716594696, "train_acc": 0.575, "val_loss": 0.7012467980384827, "v... |
88 | {"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8572, "learning_rate": 0.056375316958... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.99877,
0.214471,
-0.193061,
0.192728,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.99877,
0.214471,
-0.193061,
0.192728,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.10720153152942657, "std": 2.3385064601898193}, "1": {"mean": 2.8172035217285156, "std": 2.540532112121582}, "2": {"mean": 0.3295358121395111, "std": 1.9032193422317505}, "3": {"mean": -0.22082164883613586, "std": 1.279736876487732}, "4": {"mean": 0.26623... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.99877, 0.214471, -0.193061, 0.192728, 0.748984], [-0.156079, 0.26... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828575730323792, "train_acc": 0.59, "val_loss": 0.7136337161064148, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6633885204792023, "train_acc": 0.59, "val_loss": 0.6344306468963623, "val... |
89 | {"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.94, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6772, "learning_rate": 0.084430588991... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.423939,
1.203794,
-0.049452,
-0.176452,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.423939,
1.203794,
-0.049452,
-0.176452,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.6017966270446777, "std": 2.893066644668579}, "1": {"mean": -2.1685941219329834, "std": 1.9378044605255127}, "2": {"mean": -1.0980794429779053, "std": 2.0236990451812744}, "3": {"mean": -0.8342592120170593, "std": 0.6918946504592896}, "4": {"mean": -0.021... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.423939, 1.203794, -0.049452, -0.176452, -0.795634], [0.01679, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7034568786621094, "train_acc": 0.475, "val_loss": 0.6928240060806274, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6844208538532257, "train_acc": 0.565, "val_loss": 0.6620464324951172, "v... |
90 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1469, "learning_rate": 0.05734... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.369047,
0.170073,
-0.174411,
0.463175,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.369047,
0.170073,
-0.174411,
0.463175,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.1605710983276367, "std": 1.4117778539657593}, "1": {"mean": 0.026828672736883163, "std": 1.966558575630188}, "2": {"mean": -1.1486846208572388, "std": 1.5441248416900635}, "3": {"mean": 0.12537455558776855, "std": 1.8961046934127808}, "4": {"mean": 0.978... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.369047, 0.170073, -0.174411, 0.463175, -0.384633], [-0.628364, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7016567289829254, "train_acc": 0.44, "val_loss": 0.6465933322906494, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6765626966953278, "train_acc": 0.555, "val_loss": 0.5933147668838501, "va... |
91 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.64, "improved_accuracy": 0.84, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9217, "learning_rate": 0.03413... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.147766,
-0.408518,
0.430708,
0.240523,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.147766,
-0.408518,
0.430708,
0.240523,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7409474849700928, "std": 1.0394535064697266}, "1": {"mean": 0.2563072741031647, "std": 0.7209912538528442}, "2": {"mean": 1.9645527601242065, "std": 1.2702616453170776}, "3": {"mean": 0.28475722670555115, "std": 0.43121057748794556}, "4": {"mean": -1.666... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.147766, -0.408518, 0.430708, 0.240523, -0.026108], [-0.17618, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909227073192596, "train_acc": 0.54, "val_loss": 0.6645048260688782, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6699088513851166, "train_acc": 0.54, "val_loss": 0.629912793636322, "val_a... |
92 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1428, "learning_rate": 0.0429... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.189294,
-0.446234,
0.129863,
-0.221898,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.189294,
-0.446234,
0.129863,
-0.221898,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.32332053780555725, "std": 1.6081973314285278}, "1": {"mean": -0.05838869884610176, "std": 1.611121416091919}, "2": {"mean": 0.9821040630340576, "std": 1.7199177742004395}, "3": {"mean": -1.7506994009017944, "std": 1.3520680665969849}, "4": {"mean": 0.65... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.189294, -0.446234, 0.129863, -0.221898, 0.639235], [-0.328196, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6888768672943115, "train_acc": 0.55, "val_loss": 0.6813093423843384, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6898618042469025, "train_acc": 0.55, "val_loss": 0.679975152015686, "val_... |
93 | {"target_pattern": "palindrome", "degraded_accuracy": 0.76, "improved_accuracy": 0.96, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3126, "learning_rate": 0.08469175679... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.221422,
-0.67326,
-1.051407,
-0.356931,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.221422,
-0.67326,
-1.051407,
-0.356931,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -6.178030014038086, "std": 3.3793537616729736}, "1": {"mean": -2.320816993713379, "std": 2.249664306640625}, "2": {"mean": -0.6611344218254089, "std": 1.95835280418396}, "3": {"mean": -0.7096496820449829, "std": 2.647944211959839}, "4": {"mean": -2.3303134... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.221422, -0.67326, -1.051407, -0.356931, -0.542766], [-0.579778, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.697492390871048, "train_acc": 0.585, "val_loss": 0.7135833501815796, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6806480884552002, "train_acc": 0.585, "val_loss": 0.6081570386886597, "va... |
94 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.68, "improved_accuracy": 0.94, "improvement": 0.2599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4908, "learning_rate": 0.078200... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.151775,
-0.059857,
-0.068186,
-0.095639... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.151775,
-0.059857,
-0.068186,
-0.095639... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.3550925254821777, "std": 0.9618397355079651}, "1": {"mean": -2.902371644973755, "std": 3.758484363555908}, "2": {"mean": 1.5846972465515137, "std": 2.340023994445801}, "3": {"mean": -3.0164973735809326, "std": 3.624262571334839}, "4": {"mean": -2.573576... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.151775, -0.059857, -0.068186, -0.095639, -0.394961], [-1.205371, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7002740502357483, "train_acc": 0.465, "val_loss": 0.6883068680763245, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6886576414108276, "train_acc": 0.535, "val_loss": 0.687092125415802, "va... |
95 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5234, "learning_rate": 0.050545... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.314425,
-0.417277,
-0.026703,
-0.014668... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.314425,
-0.417277,
-0.026703,
-0.014668... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.9856383800506592, "std": 1.7831486463546753}, "1": {"mean": -1.4488753080368042, "std": 3.547227621078491}, "2": {"mean": 2.5483436584472656, "std": 2.5097763538360596}, "3": {"mean": -0.9068846702575684, "std": 1.6463425159454346}, "4": {"mean": -1.304... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.314425, -0.417277, -0.026703, -0.014668, -0.659435], [-1.416766, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.683845579624176, "train_acc": 0.56, "val_loss": 0.6806833744049072, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6866803467273712, "train_acc": 0.56, "val_loss": 0.6803072094917297, "val_... |
96 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3153, "learning_rate": 0.09375952855635061, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.490655,
-0.890976,
-0.993846,
0.00125,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.490655,
-0.890976,
-0.993846,
0.00125,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -5.510776996612549, "std": 4.038497447967529}, "1": {"mean": -0.8876585960388184, "std": 4.491000175476074}, "2": {"mean": 1.7130922079086304, "std": 2.9847428798675537}, "3": {"mean": 4.022634029388428, "std": 3.3492400646209717}, "4": {"mean": 1.40222632... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.490655, -0.890976, -0.993846, 0.00125, -0.954278], [-1.377325, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6800411641597748, "train_acc": 0.58, "val_loss": 0.7504766583442688, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6803210973739624, "train_acc": 0.58, "val_loss": 0.6691428422927856, "val_... |
97 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.74, "improved_accuracy": 0.9, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1800, "learning_rate": 0.052162... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.232168,
-0.457808,
-0.280405,
-0.481828... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.232168,
-0.457808,
-0.280405,
-0.481828... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.832663059234619, "std": 1.846025824546814}, "1": {"mean": 0.7791208028793335, "std": 1.3309473991394043}, "2": {"mean": -1.4316686391830444, "std": 1.598892331123352}, "3": {"mean": 0.750759482383728, "std": 0.5823498368263245}, "4": {"mean": -0.5465776... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.232168, -0.457808, -0.280405, -0.481828, -0.002451], [0.060573, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6864830851554871, "train_acc": 0.575, "val_loss": 0.6887338161468506, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6627926528453827, "train_acc": 0.575, "val_loss": 0.6725373864173889, "va... |
98 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8537, "learning_rate": 0.0408635... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.24148,
-0.284973,
-0.011506,
-0.010725,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.24148,
-0.284973,
-0.011506,
-0.010725,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.7352064251899719, "std": 0.8398507237434387}, "1": {"mean": -1.439071774482727, "std": 1.2329365015029907}, "2": {"mean": 3.2278835773468018, "std": 2.286250352859497}, "3": {"mean": -0.4478144347667694, "std": 1.9279481172561646}, "4": {"mean": 0.62849... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.24148, -0.284973, -0.011506, -0.010725, 0.095342], [-0.09899, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6991717517375946, "train_acc": 0.46, "val_loss": 0.7108652591705322, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.664625346660614, "train_acc": 0.59, "val_loss": 0.76422119140625, "val_acc... |
99 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.72, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4662, "learning_rate": 0.06516292890522583, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.171393,
-0.001481,
-0.086464,
-0.384258,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.171393,
-0.001481,
-0.086464,
-0.384258,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.44659462571144104, "std": 2.5832974910736084}, "1": {"mean": -1.0776056051254272, "std": 2.163193941116333}, "2": {"mean": 1.9688267707824707, "std": 2.8095686435699463}, "3": {"mean": 2.4145493507385254, "std": 2.371774911880493}, "4": {"mean": -0.0891... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.171393, -0.001481, -0.086464, -0.384258, -0.52948], [0.787341, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853665113449097, "train_acc": 0.57, "val_loss": 0.694990873336792, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6431417465209961, "train_acc": 0.57, "val_loss": 0.6814982891082764, "val_... |
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