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Datasets:
TokenBender
/
circuit-discovery

Tags:
mechanistic-interpretability
circuit-tracing
arithmetic
qwen
sparse-circuits
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Add issue 17 data RL KL artifacts

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  1. circuit-shotting/artifacts/issue17/data_rl_kl_non_math/qwen25_1p5b_2digit_data_rl_kl_issue17.artifacts.tar.gz +3 -0
  2. circuit-shotting/artifacts/issue17/data_rl_kl_non_math/qwen25_1p5b_2digit_data_rl_kl_issue17.artifacts.tar.gz.sha256 +3 -0
  3. circuit-shotting/artifacts/issue17/data_rl_kl_non_math/summary.json +256 -0
  4. circuit-shotting/artifacts/issue17/data_rl_kl_non_math/summary.md +24 -0
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+ {
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+ "run_dir": "results/qwen25_1p5b_2digit_data_rl_kl_issue17",
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+ "model": "Qwen/Qwen2.5-1.5B",
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+ "model_key": "qwen25_1p5b",
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+ "min_accuracy": 0.995,
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+ "base_accuracy": {
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+ "n_tested": 8100,
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+ "n_correct": 6705,
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+ "accuracy": 0.8277777777777777
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+ },
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+ "variants": [
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+ {
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+ "name": "eos_diverse_carry_hard_kl_1000",
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+ "config": {
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+ "variant": "eos_diverse_carry_hard_kl_1000",
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+ "kind": "kl",
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+ "kl_beta": 0.05,
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+ "kl_on": "prompt",
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+ "prompt_template_set": "diverse",
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+ "append_eos": true,
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+ "carry_oversample_multiplier": 3,
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+ "hard_pair_multiplier": 3,
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+ "max_steps": 1000,
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+ "lr": 0.0002,
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+ "lora_r": 32,
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+ "lora_alpha": 64,
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+ "target_modules": "all-linear"
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+ },
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+ "train_final": {
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+ "n": 8100,
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+ "correct": 8100,
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+ "accuracy": 1.0,
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+ "overlong_digit_predictions": 0,
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+ "overlong_digit_fraction": 0.0,
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+ "wrong_sample": []
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+ },
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+ "merge": {
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+ "scale": 0.55,
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+ "accuracy": 0.9998765432098765,
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+ "correct": 8099,
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+ "n": 8100,
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+ "overlong_digit_fraction": 0.0,
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+ "kl_mean": 0.9180812204555221,
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+ "rule": "lowest_kl_at_or_above_min_accuracy"
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+ },
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+ "fresh_masks": [
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+ {
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+ "mask": "target_search",
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+ "mlp_kept": 23813,
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+ "mlp_channel_fraction": 0.09491788903061224,
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+ "selected_weight_fraction": 0.07088520930232559,
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+ "teacher_forced_accuracy": 0.89,
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+ "generation_accuracy": 0.8846666666666667
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+ },
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+ {
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+ "mask": "topk_500",
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+ "mlp_kept": 20817,
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+ "mlp_channel_fraction": 0.08297592474489796,
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+ "selected_weight_fraction": 0.06196688372093023,
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+ "teacher_forced_accuracy": 0.8046666666666666,
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+ "generation_accuracy": 0.7993333333333333
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+ }
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+ ]
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+ },
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+ {
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+ "name": "eos_diverse_carry_hard_kl_1000_nokl",
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+ "config": {
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+ "variant": "eos_diverse_carry_hard_kl_1000_nokl",
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+ "kind": "nokl",
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+ "kl_beta": 0.0,
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+ "kl_on": "none",
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+ "prompt_template_set": "diverse",
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+ "append_eos": true,
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+ "carry_oversample_multiplier": 3,
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+ "hard_pair_multiplier": 3,
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+ "max_steps": 1000,
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+ "lr": 0.0002,
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+ "lora_r": 32,
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+ "lora_alpha": 64,
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+ "target_modules": "all-linear"
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+ },
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+ "train_final": {
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+ "n": 8100,
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+ "correct": 8100,
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+ "accuracy": 1.0,
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+ "overlong_digit_predictions": 0,
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+ "overlong_digit_fraction": 0.0,
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+ "wrong_sample": []
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+ },
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+ "merge": {
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+ "scale": 0.35,
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+ "accuracy": 0.9991358024691358,
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+ "correct": 8093,
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+ "n": 8100,
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+ "overlong_digit_fraction": 0.0,
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+ "kl_mean": 4.024495058014611,
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+ "rule": "lowest_kl_at_or_above_min_accuracy"
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+ },
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+ "fresh_masks": [
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+ {
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+ "mask": "target_search",
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+ "mlp_kept": 111514,
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+ "mlp_channel_fraction": 0.44449139030612245,
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+ "selected_weight_fraction": 0.3319486511627907,
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+ "teacher_forced_accuracy": 0.8853333333333333,
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+ "generation_accuracy": 0.8833333333333333
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+ {
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+ "mask": "topk_500",
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+ "mlp_kept": 23380,
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+ "selected_weight_fraction": 0.06959627906976744,
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+ "teacher_forced_accuracy": 0.33666666666666667,
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+ "generation_accuracy": 0.3406666666666667
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+ }
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+ ]
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+ },
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+ {
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+ "name": "eos_diverse_hard_kl_800",
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+ "config": {
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+ "variant": "eos_diverse_hard_kl_800",
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+ "kind": "kl",
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+ "kl_beta": 0.05,
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+ "kl_on": "prompt",
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+ "prompt_template_set": "diverse",
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+ "append_eos": true,
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+ "carry_oversample_multiplier": 1,
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+ "hard_pair_multiplier": 3,
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+ "max_steps": 800,
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+ "lr": 0.0002,
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+ "lora_r": 32,
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+ "lora_alpha": 64,
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+ "target_modules": "all-linear"
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+ },
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+ "train_final": {
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+ "n": 8100,
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+ "correct": 8098,
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+ "accuracy": 0.9997530864197531,
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+ "overlong_digit_predictions": 0,
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+ "overlong_digit_fraction": 0.0,
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+ "wrong_sample": [
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+ {
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+ "prompt": "11 + 14 =",
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+ "answer": "25",
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+ "pred": "26"
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+ },
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+ {
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+ "prompt": "98 + 81 =",
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+ "answer": "179",
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+ "pred": "189"
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+ }
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+ ]
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+ },
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+ "merge": {
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+ "accuracy": 0.9979012345679013,
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+ "correct": 8083,
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+ "n": 8100,
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+ "overlong_digit_fraction": 0.0,
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+ "kl_mean": 0.8415878813923506,
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+ "rule": "lowest_kl_at_or_above_min_accuracy"
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+ },
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+ "fresh_masks": []
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+ },
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+ {
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+ "name": "eos_legacy_kl_600",
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+ "config": {
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+ "variant": "eos_legacy_kl_600",
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+ "kind": "kl",
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+ "kl_beta": 0.05,
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+ "kl_on": "prompt",
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+ "prompt_template_set": "legacy",
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+ "append_eos": true,
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+ "carry_oversample_multiplier": 1,
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+ "hard_pair_multiplier": 1,
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+ "max_steps": 600,
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+ "lr": 0.0002,
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+ "lora_r": 32,
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+ "lora_alpha": 64,
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+ "target_modules": "all-linear"
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+ },
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+ "train_final": {
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+ "n": 8100,
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+ "correct": 8100,
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+ "accuracy": 1.0,
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+ "overlong_digit_predictions": 0,
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+ "overlong_digit_fraction": 0.0,
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+ "wrong_sample": []
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+ },
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+ "merge": {
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+ "accuracy": 0.9964197530864197,
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+ "correct": 8071,
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+ "n": 8100,
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+ "overlong_digit_fraction": 0.0,
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+ "kl_mean": 0.9090030081650193,
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+ "rule": "lowest_kl_at_or_above_min_accuracy"
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+ },
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+ "fresh_masks": []
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+ }
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+ ],
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+ "best_kl": {
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+ "name": "eos_diverse_carry_hard_kl_1000",
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+ "config": {
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+ "variant": "eos_diverse_carry_hard_kl_1000",
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+ "kind": "kl",
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+ "kl_beta": 0.05,
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+ "kl_on": "prompt",
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+ "prompt_template_set": "diverse",
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+ "append_eos": true,
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+ "carry_oversample_multiplier": 3,
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+ "hard_pair_multiplier": 3,
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+ "max_steps": 1000,
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+ "lr": 0.0002,
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+ "lora_r": 32,
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+ "lora_alpha": 64,
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+ "target_modules": "all-linear"
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+ },
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+ "train_final": {
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+ "n": 8100,
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+ "correct": 8100,
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+ "accuracy": 1.0,
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+ "overlong_digit_predictions": 0,
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+ "overlong_digit_fraction": 0.0,
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+ "wrong_sample": []
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+ },
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+ "merge": {
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+ "scale": 0.55,
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+ "accuracy": 0.9998765432098765,
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+ "correct": 8099,
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+ "n": 8100,
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+ "overlong_digit_fraction": 0.0,
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+ "kl_mean": 0.9180812204555221,
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+ "rule": "lowest_kl_at_or_above_min_accuracy"
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+ },
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+ "fresh_masks": [
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+ {
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+ "mask": "target_search",
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+ "mlp_kept": 23813,
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+ "mlp_channel_fraction": 0.09491788903061224,
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+ "selected_weight_fraction": 0.07088520930232559,
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+ "teacher_forced_accuracy": 0.89,
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+ "generation_accuracy": 0.8846666666666667
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+ },
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+ {
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+ "mask": "topk_500",
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+ "mlp_kept": 20817,
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+ "mlp_channel_fraction": 0.08297592474489796,
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+ "selected_weight_fraction": 0.06196688372093023,
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+ "teacher_forced_accuracy": 0.8046666666666666,
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+ "generation_accuracy": 0.7993333333333333
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+ }
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+ ]
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+ },
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+ "gate_met": true
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+ }
circuit-shotting/artifacts/issue17/data_rl_kl_non_math/summary.md ADDED
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+ # Issue 17 Data/RL KL-LoRA Summary
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+
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+ Model: `Qwen/Qwen2.5-1.5B`
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+
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+ Base exact: `82.78%` (`6705/8100`).
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+ Gate: `>= 99.50%`; met: `True`.
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+
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+ ## Adapter Search
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+
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+ | variant | kind | templates | EOS | carry x | hard x | steps | scale | exact | overlong | KL | rule |
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+ |---|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---|
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+ | `eos_diverse_carry_hard_kl_1000` | `kl` | `diverse` | `True` | 3 | 3 | 1000 | 0.55 | 99.99% | 0.00% | 0.9180812204555221 | `lowest_kl_at_or_above_min_accuracy` |
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+ | `eos_diverse_carry_hard_kl_1000_nokl` | `nokl` | `diverse` | `True` | 3 | 3 | 1000 | 0.35 | 99.91% | 0.00% | 4.024495058014611 | `lowest_kl_at_or_above_min_accuracy` |
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+ | `eos_diverse_hard_kl_800` | `kl` | `diverse` | `True` | 1 | 3 | 800 | 0.475 | 99.79% | 0.00% | 0.8415878813923506 | `lowest_kl_at_or_above_min_accuracy` |
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+ | `eos_legacy_kl_600` | `kl` | `legacy` | `True` | 1 | 1 | 600 | 0.55 | 99.64% | 0.00% | 0.9090030081650193 | `lowest_kl_at_or_above_min_accuracy` |
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+
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+ ## Fresh Recovery
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+
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+ | variant | mask | MLPs | MLP-channel % | selected-weight % | teacher-forced | generation |
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+ |---|---|---:|---:|---:|---:|---:|
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+ | `eos_diverse_carry_hard_kl_1000` | `target_search` | 23813 | 9.49% | 7.09% | 89.00% | 88.47% |
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+ | `eos_diverse_carry_hard_kl_1000` | `topk_500` | 20817 | 8.30% | 6.20% | 80.47% | 79.93% |
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+ | `eos_diverse_carry_hard_kl_1000_nokl` | `target_search` | 111514 | 44.45% | 33.19% | 88.53% | 88.33% |
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+ | `eos_diverse_carry_hard_kl_1000_nokl` | `topk_500` | 23380 | 9.32% | 6.96% | 33.67% | 34.07% |