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- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.24.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.24.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.25.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.25.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.26.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.26.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.27.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.27.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.28.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.28.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.29.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.29.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.30.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.30.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.31.hook_mlp_out.json +1 -0
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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_2/EleutherAI_gpt-neo-2.7B/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_2/EleutherAI_gpt-neo-2.7B/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_2/EleutherAI_gpt-neo-2.7B/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_2/EleutherAI_gpt-neo-2.7B/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": 0, "1": 173, "2": 208, "3": 477}, "net_accuracy": 0.28429423459244535}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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_2/EleutherAI_gpt-neo-2.7B/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": 11, "1": 2, "2": 0, "3": 848}, "net_accuracy": 0.2852882703777336}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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_2/EleutherAI_gpt-neo-2.7B/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": 7, "1": 698, "2": 10, "3": 3}, "net_accuracy": 0.2379058979456594}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 1, "2": 1, "3": 1}, "net_accuracy": 0.2147117296222664}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 0, "1": 0, "2": 783, "3": 0}, "net_accuracy": 0.25944333996023855}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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_2/EleutherAI_gpt-neo-2.7B/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": 125, "1": 560, "2": 0, "3": 0}, "net_accuracy": 0.22697150430748841}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 374, "1": 2, "2": 5, "3": 401}, "net_accuracy": 0.2591119946984758}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 466, "1": 187, "2": 0, "3": 0}, "net_accuracy": 0.21636845593108017}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 550, "1": 137, "2": 0, "3": 0}, "net_accuracy": 0.2276341948310139}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 359, "1": 35, "2": 23, "3": 310}, "net_accuracy": 0.24088800530152418}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 611, "1": 52, "2": 0, "3": 0}, "net_accuracy": 0.21968190854870775}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 265, "1": 414, "2": 0, "3": 21}, "net_accuracy": 0.23194168323392975}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 84, "1": 1, "2": 3, "3": 732}, "net_accuracy": 0.2717031146454606}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 615, "1": 0, "2": 0, "3": 37}, "net_accuracy": 0.21603711066931744}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 39, "1": 0, "2": 0, "3": 803}, "net_accuracy": 0.27899271040424123}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 110, "1": 0, "2": 0, "3": 703}, "net_accuracy": 0.26938369781312127}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 0, "1": 333, "2": 425, "3": 11}, "net_accuracy": 0.25480450629555995}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 55, "1": 9, "2": 0, "3": 784}, "net_accuracy": 0.28098078197481774}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 1, "1": 4, "2": 762, "3": 0}, "net_accuracy": 0.2541418157720345}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/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": 147, "1": 5, "2": 2, "3": 657}, "net_accuracy": 0.26872100728959575}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 158, "1": 1, "2": 5, "3": 625}, "net_accuracy": 0.2614314115308151}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json
ADDED
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 1, "2": 0, "3": 0}, "net_accuracy": 0.2140490390987409}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json
ADDED
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+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 239, "1": 0, "2": 4, "3": 536}, "net_accuracy": 0.25811795891318756}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.24.hook_mlp_out.json
ADDED
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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": 9}, "net_accuracy": 0.21636845593108017}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.24.hook_resid_post.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 385, "1": 0, "2": 2, "3": 342}, "net_accuracy": 0.2415506958250497}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.25.hook_mlp_out.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 142, "1": 581, "2": 3, "3": 0}, "net_accuracy": 0.24055666003976142}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.25.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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|
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 466, "1": 0, "2": 0, "3": 236}, "net_accuracy": 0.23260437375745527}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.26.hook_mlp_out.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 37, "1": 28, "2": 6, "3": 787}, "net_accuracy": 0.28429423459244535}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.26.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 419, "1": 0, "2": 0, "3": 290}, "net_accuracy": 0.23492379058979457}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.27.hook_mlp_out.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 17, "2": 633, "3": 131}, "net_accuracy": 0.25878064943671303}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.27.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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|
|
|
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 295, "1": 0, "2": 0, "3": 459}, "net_accuracy": 0.24983432736911862}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.28.hook_mlp_out.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 638, "1": 11, "2": 5, "3": 4}, "net_accuracy": 0.21802518223989398}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.28.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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|
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 522, "1": 0, "2": 0, "3": 151}, "net_accuracy": 0.2229953611663353}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.29.hook_mlp_out.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 62, "1": 434, "2": 275, "3": 0}, "net_accuracy": 0.2554671968190855}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.29.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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|
|
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|
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 630, "1": 0, "2": 0, "3": 22}, "net_accuracy": 0.21603711066931744}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 160, "2": 608, "3": 25}, "net_accuracy": 0.26275679257786616}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json
ADDED
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| 1 |
+
{"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_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.30.hook_mlp_out.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 1, "1": 0, "2": 783, "3": 0}, "net_accuracy": 0.2597746852220013}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.30.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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|
|
|
|
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 617, "1": 0, "2": 23, "3": 21}, "net_accuracy": 0.21901921802518223}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-2.7B/last_token_relative_depth_100/accuracy_blocks.31.hook_mlp_out.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 717, "2": 0, "3": 0}, "net_accuracy": 0.23757455268389663}
|