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- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.4.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.5.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.9.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.9.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json +1 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_output.json +1 -0
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 0, "1": 713, "2": 0, "3": 8}, "net_accuracy": 0.23889993373094764}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 0, "1": 136, "2": 0, "3": 722}, "net_accuracy": 0.28429423459244535}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 1, "1": 0, "2": 783, "3": 0}, "net_accuracy": 0.2597746852220013}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 0, "1": 0, "2": 12, "3": 850}, "net_accuracy": 0.28561961563949634}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 5, "1": 0, "2": 537, "3": 247}, "net_accuracy": 0.2614314115308151}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 0, "1": 69, "2": 0, "3": 815}, "net_accuracy": 0.292909211398277}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 611, "1": 2, "2": 40, "3": 0}, "net_accuracy": 0.21636845593108017}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 0, "1": 122, "2": 10, "3": 739}, "net_accuracy": 0.2886017229953612}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 475, "1": 84, "2": 0, "3": 106}, "net_accuracy": 0.22034459907223328}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 46, "1": 77, "2": 19, "3": 693}, "net_accuracy": 0.2766732935719019}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 496, "1": 1, "2": 192, "3": 0}, "net_accuracy": 0.22829688535453943}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 88, "1": 40, "2": 77, "3": 623}, "net_accuracy": 0.27435387673956263}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 277, "1": 59, "2": 0, "3": 422}, "net_accuracy": 0.25115970841616964}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 86, "1": 100, "2": 176, "3": 437}, "net_accuracy": 0.26474486414844267}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 447, "1": 79, "2": 135, "3": 15}, "net_accuracy": 0.2239893969516236}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 119, "1": 105, "2": 302, "3": 254}, "net_accuracy": 0.2584493041749503}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 605, "1": 2, "2": 1, "3": 67}, "net_accuracy": 0.22365805168986083}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 6, "1": 0, "2": 1, "3": 856}, "net_accuracy": 0.2859509609012591}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 8, "1": 112, "2": 654, "3": 15}, "net_accuracy": 0.2614314115308151}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 22, "1": 9, "2": 4, "3": 817}, "net_accuracy": 0.2823061630218688}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 400, "1": 1, "2": 296, "3": 28}, "net_accuracy": 0.24022531477799866}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 110, "1": 71, "2": 8, "3": 643}, "net_accuracy": 0.2756792577866137}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 38, "1": 606, "2": 28, "3": 43}, "net_accuracy": 0.2369118621603711}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 11, "1": 76, "2": 47, "3": 714}, "net_accuracy": 0.28098078197481774}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 773, "3": 6}, "net_accuracy": 0.25811795891318756}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 0, "1": 0, "2": 1, "3": 871}, "net_accuracy": 0.28893306825712395}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 12, "2": 771, "3": 3}, "net_accuracy": 0.26043737574552683}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 5, "1": 64, "2": 246, "3": 508}, "net_accuracy": 0.2726971504307488}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 155, "1": 0, "2": 600, "3": 1}, "net_accuracy": 0.2504970178926441}
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mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/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": 6, "1": 19, "2": 562, "3": 189}, "net_accuracy": 0.2571239231278993}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.22.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": 645, "1": 0, "2": 0, "3": 4}, "net_accuracy": 0.21504307488402916}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.22.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": 30, "1": 37, "2": 629, "3": 82}, "net_accuracy": 0.2577866136514248}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.23.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": 514, "1": 0, "2": 0, "3": 202}, "net_accuracy": 0.23724320742213387}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.23.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": 292, "1": 16, "2": 150, "3": 279}, "net_accuracy": 0.24420145791915177}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.3.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": 529, "1": 0, "2": 0, "3": 168}, "net_accuracy": 0.2309476474486415}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.3.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": 0, "1": 0, "2": 2, "3": 871}, "net_accuracy": 0.28926441351888665}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.4.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": 0, "1": 0, "2": 1, "3": 871}, "net_accuracy": 0.28893306825712395}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.5.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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.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": 0, "1": 719, "2": 0, "3": 0}, "net_accuracy": 0.23823724320742212}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.6.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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.7.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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json
ADDED
|
@@ -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": 0, "1": 67, "2": 722, "3": 0}, "net_accuracy": 0.2614314115308151}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.8.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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.9.hook_mlp_out.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": 614, "1": 35, "2": 0, "3": 0}, "net_accuracy": 0.21504307488402916}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.9.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": 0, "1": 3, "2": 0, "3": 870}, "net_accuracy": 0.28926441351888665}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.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": 292, "1": 16, "2": 150, "3": 279}, "net_accuracy": 0.24420145791915177}
|
mmlu_STEM/few_shot_2/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_output.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": 292, "1": 16, "2": 150, "3": 279}, "net_accuracy": 0.24420145791915177}
|