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- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.9.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.9.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_output.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.0.hook_mlp_out.csv +0 -0
mmlu_STEM/few_shot_0/gpt2-medium/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2-medium/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-medium/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": 55, "1": 128, "2": 447, "3": 153}, "net_accuracy": 0.25944333996023855}
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mmlu_STEM/few_shot_0/gpt2-medium/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-medium/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": 438, "1": 173, "2": 2, "3": 37}, "net_accuracy": 0.21537442014579192}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.10.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-medium/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": 0, "1": 0, "2": 773, "3": 8}, "net_accuracy": 0.25878064943671303}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 71, "1": 628, "2": 0, "3": 0}, "net_accuracy": 0.23161033797216699}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.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-medium/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": 312, "1": 173, "2": 16, "3": 227}, "net_accuracy": 0.24121935056328694}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.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-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 517, "1": 0, "2": 43, "3": 80}, "net_accuracy": 0.21206096752816433}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 644, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21338634857521538}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 629, "1": 6, "2": 0, "3": 7}, "net_accuracy": 0.21272365805168986}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 644, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21338634857521538}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 439, "1": 47, "2": 7, "3": 220}, "net_accuracy": 0.23624917163684558}
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mmlu_STEM/few_shot_0/gpt2-medium/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}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 244, "1": 195, "2": 268, "3": 6}, "net_accuracy": 0.23624917163684558}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.17.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-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 618, "1": 23, "2": 2, "3": 0}, "net_accuracy": 0.21305500331345262}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 643, "1": 3, "2": 2, "3": 0}, "net_accuracy": 0.2147117296222664}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 637, "1": 0, "2": 12, "3": 3}, "net_accuracy": 0.21603711066931744}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 643, "1": 0, "2": 3, "3": 1}, "net_accuracy": 0.21438038436050363}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 546, "1": 111, "2": 0, "3": 19}, "net_accuracy": 0.2239893969516236}
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mmlu_STEM/few_shot_0/gpt2-medium/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-medium/last_token_relative_depth_100/accuracy_blocks.20.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": 1, "3": 0}, "net_accuracy": 0.2140490390987409}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 641, "1": 0, "2": 4, "3": 0}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 601, "1": 2, "2": 35, "3": 7}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 643, "1": 0, "2": 1, "3": 0}, "net_accuracy": 0.21338634857521538}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 0, "1": 9, "2": 52, "3": 818}, "net_accuracy": 0.2912524850894632}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 635, "1": 5, "2": 5, "3": 1}, "net_accuracy": 0.2140490390987409}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 4, "1": 154, "2": 63, "3": 601}, "net_accuracy": 0.27236580516898606}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 609, "1": 14, "2": 9, "3": 21}, "net_accuracy": 0.21636845593108017}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 113, "1": 6, "2": 0, "3": 733}, "net_accuracy": 0.2823061630218688}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.3.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-medium/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": 3, "1": 2, "2": 776, "3": 1}, "net_accuracy": 0.2591119946984758}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 92, "1": 628, "2": 1, "3": 0}, "net_accuracy": 0.23889993373094764}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.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-medium/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": 0, "1": 2, "2": 436, "3": 404}, "net_accuracy": 0.27899271040424123}
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mmlu_STEM/few_shot_0/gpt2-medium/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-medium/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": 265, "1": 0, "2": 107, "3": 400}, "net_accuracy": 0.25579854208084823}
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mmlu_STEM/few_shot_0/gpt2-medium/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}
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mmlu_STEM/few_shot_0/gpt2-medium/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": 630, "1": 0, "2": 10, "3": 6}, "net_accuracy": 0.2140490390987409}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json
ADDED
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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-medium/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": 238, "1": 8, "2": 524, "3": 0}, "net_accuracy": 0.2551358515573227}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.9.hook_resid_post.json
ADDED
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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-medium/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json
ADDED
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 609, "1": 14, "2": 9, "3": 21}, "net_accuracy": 0.21636845593108017}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/accuracy_output.json
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 609, "1": 14, "2": 9, "3": 21}, "net_accuracy": 0.21636845593108017}
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mmlu_STEM/few_shot_0/gpt2-medium/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.0.hook_mlp_out.csv
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