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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1131, "1": 0, "2": 0, "3": 3}, "net_accuracy": 0.2410201912858661}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1139, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.24208289054197663}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 0, "1": 1142, "2": 7, "3": 2}, "net_accuracy": 0.24463336875664188}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 66, "1": 540, "2": 547, "3": 70}, "net_accuracy": 0.2599362380446334}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1139, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.24208289054197663}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 196, "1": 9, "2": 5, "3": 911}, "net_accuracy": 0.23825717321997875}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 31, "1": 148, "2": 993, "3": 78}, "net_accuracy": 0.26567481402763016}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.24.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1139, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.24208289054197663}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.26.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 504, "1": 624, "2": 4, "3": 2}, "net_accuracy": 0.2410201912858661}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.27.hook_mlp_out.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 904, "1": 221, "2": 3, "3": 6}, "net_accuracy": 0.2410201912858661}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.32.hook_resid_post.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.33.hook_resid_post.json

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mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.36.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1087, "1": 0, "2": 53, "3": 8}, "net_accuracy": 0.24399574920297556}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.39.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1099, "1": 0, "2": 17, "3": 24}, "net_accuracy": 0.24229543039319873}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.40.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 19, "1": 427, "2": 674, "3": 63}, "net_accuracy": 0.2514346439957492}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.40.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1110, "1": 0, "2": 22, "3": 10}, "net_accuracy": 0.24272051009564294}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.41.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 83, "1": 940, "2": 55, "3": 104}, "net_accuracy": 0.2512221041445271}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.44.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1130, "1": 3, "2": 3, "3": 10}, "net_accuracy": 0.24357066950053136}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.45.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 911, "1": 2, "2": 231, "3": 19}, "net_accuracy": 0.24718384697130713}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.45.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1115, "1": 1, "2": 28, "3": 0}, "net_accuracy": 0.24314558979808715}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.46.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 7, "1": 1140, "2": 6, "3": 5}, "net_accuracy": 0.2461211477151966}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 805, "1": 0, "2": 46, "3": 296}, "net_accuracy": 0.24378320935175346}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1122, "1": 0, "2": 0, "3": 14}, "net_accuracy": 0.2414452709883103}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 837, "1": 239, "2": 0, "3": 82}, "net_accuracy": 0.2461211477151966}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1061, "1": 0, "2": 0, "3": 78}, "net_accuracy": 0.24208289054197663}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 1112, "1": 0, "2": 0, "3": 22}, "net_accuracy": 0.2410201912858661}

mmlu_humanities/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

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+{"total_per_class": {"0": 1139, "1": 1153, "2": 1276, "3": 1137}, "correct_per_class": {"0": 898, "1": 4, "2": 48, "3": 194}, "net_accuracy": 0.24314558979808715}