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mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 479, "1": 0, "2": 220, "3": 2}, "net_accuracy": 0.2322730284956925}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 8, "1": 63, "2": 0, "3": 776}, "net_accuracy": 0.280649436713055}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 455, "1": 0, "2": 137, "3": 56}, "net_accuracy": 0.2147117296222664}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 430, "1": 0, "2": 2, "3": 255}, "net_accuracy": 0.2276341948310139}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 276, "1": 443, "2": 4, "3": 0}, "net_accuracy": 0.23956262425447317}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 628, "1": 0, "2": 18, "3": 0}, "net_accuracy": 0.2140490390987409}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.24.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 629, "1": 0, "2": 13, "3": 15}, "net_accuracy": 0.21769383697813122}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.26.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 634, "1": 2, "2": 8, "3": 3}, "net_accuracy": 0.21438038436050363}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.27.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 445, "1": 27, "2": 6, "3": 199}, "net_accuracy": 0.22432074221338635}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.33.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 610, "1": 0, "2": 31, "3": 0}, "net_accuracy": 0.2123923127899271}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 256, "1": 1, "2": 13, "3": 530}, "net_accuracy": 0.26507620941020543}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 70, "1": 3, "2": 1, "3": 803}, "net_accuracy": 0.2905897945659377}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 547, "1": 22, "2": 89, "3": 13}, "net_accuracy": 0.22233267064280982}