Add files using upload-large-folder tool

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 259, "1": 49, "2": 260, "3": 226}, "net_accuracy": 0.25804354891127723}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 494, "1": 130, "2": 0, "3": 34}, "net_accuracy": 0.2138446538836529}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 0, "1": 0, "2": 730, "3": 7}, "net_accuracy": 0.23951901202469938}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 93, "1": 621, "2": 0, "3": 0}, "net_accuracy": 0.23204419889502761}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 183, "1": 254, "2": 14, "3": 330}, "net_accuracy": 0.25381865453363667}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 607, "1": 2, "2": 43, "3": 40}, "net_accuracy": 0.22489437764055897}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 661, "1": 0, "2": 1, "3": 9}, "net_accuracy": 0.21806954826129346}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 400, "1": 114, "2": 114, "3": 80}, "net_accuracy": 0.2300942476438089}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 275, "1": 188, "2": 223, "3": 0}, "net_accuracy": 0.22294442638934026}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 667, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 640, "1": 21, "2": 8, "3": 0}, "net_accuracy": 0.21741956451088723}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 663, "1": 3, "2": 1, "3": 1}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 667, "1": 0, "2": 0, "3": 2}, "net_accuracy": 0.21741956451088723}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 666, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.216769580760481}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 526, "1": 149, "2": 0, "3": 21}, "net_accuracy": 0.22619434514137146}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 666, "1": 1, "2": 1, "3": 2}, "net_accuracy": 0.21774455638609036}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 666, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.216769580760481}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 663, "1": 2, "2": 4, "3": 1}, "net_accuracy": 0.21774455638609036}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.21741956451088723}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 663, "1": 2, "2": 0, "3": 1}, "net_accuracy": 0.21644458888527787}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 1, "1": 125, "2": 70, "3": 684}, "net_accuracy": 0.28599285017874554}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 653, "1": 7, "2": 3, "3": 6}, "net_accuracy": 0.21741956451088723}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 47, "1": 3, "2": 0, "3": 872}, "net_accuracy": 0.29964250893727656}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 2, "1": 0, "2": 728, "3": 2}, "net_accuracy": 0.2378940526486838}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.4.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 217, "1": 504, "2": 17, "3": 2}, "net_accuracy": 0.24049398765030874}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 0, "1": 1, "2": 210, "3": 646}, "net_accuracy": 0.2785180370490738}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 540, "1": 0, "2": 20, "3": 142}, "net_accuracy": 0.22814429639259018}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 632, "1": 0, "2": 36, "3": 12}, "net_accuracy": 0.22099447513812154}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.9.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 450, "1": 28, "2": 209, "3": 1}, "net_accuracy": 0.2235944101397465}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.9.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 653, "1": 7, "2": 3, "3": 6}, "net_accuracy": 0.21741956451088723}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_output.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 653, "1": 7, "2": 3, "3": 6}, "net_accuracy": 0.21741956451088723}

mmlu_social_sciences/few_shot_0/gpt2-medium/last_token_relative_depth_100/llm_hook_args.json

@@ -0,0 +1 @@
+{"device": "cuda", "model_id": "gpt2-medium", "batch_size": 32, "dataset_name": "mmlu_social_sciences", "max_token_length": 1024, "last_token": true, "question_structure": true, "relative_depth_of_sentence": 1.0, "store_activations": true, "random_seed": 42, "few_shot": 0, "pythia": false, "revision_step": 0, "save_dir": "experiment_results_res_post"}