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- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.4.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.5.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.9.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.9.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_output.json +1 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.0.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.0.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.1.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.1.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.10.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.10.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.11.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.11.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.2.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.2.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.3.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.3.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.4.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.4.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.5.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.5.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.6.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.6.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.7.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.7.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.8.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.8.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.9.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.9.hook_resid_post.csv +0 -0
mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 638, "1": 0, "2": 14, "3": 0}, "net_accuracy": 0.21603711066931744}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.0.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}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 0, "2": 783, "3": 0}, "net_accuracy": 0.25944333996023855}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.1.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}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 498, "1": 73, "2": 25, "3": 95}, "net_accuracy": 0.22895957587806495}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 641, "1": 1, "2": 3, "3": 0}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 4, "1": 137, "2": 55, "3": 657}, "net_accuracy": 0.28263750828363154}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 636, "1": 2, "2": 5, "3": 2}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2/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}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 149, "1": 0, "2": 0, "3": 687}, "net_accuracy": 0.27700463883366466}
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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}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 612, "1": 44, "2": 0, "3": 0}, "net_accuracy": 0.21736249171636846}
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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}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 218, "1": 45, "2": 376, "3": 79}, "net_accuracy": 0.2379058979456594}
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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}
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mmlu_STEM/few_shot_0/gpt2/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": 627, "1": 3, "2": 0, "3": 22}, "net_accuracy": 0.21603711066931744}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.6.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}
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mmlu_STEM/few_shot_0/gpt2/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
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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}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.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}
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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}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/accuracy_blocks.9.hook_mlp_out.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}
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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}
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mmlu_STEM/few_shot_0/gpt2/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": 636, "1": 2, "2": 5, "3": 2}, "net_accuracy": 0.21371769383697814}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 636, "1": 2, "2": 5, "3": 2}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.0.hook_mlp_out.csv
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mmlu_STEM/few_shot_0/gpt2/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.11.hook_mlp_out.csv
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