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mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 617, "1": 12, "2": 11, "3": 1}, "net_accuracy": 0.2123923127899271}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 11, "1": 1, "2": 83, "3": 787}, "net_accuracy": 0.2922465208747515}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 36, "1": 26, "2": 415, "3": 413}, "net_accuracy": 0.29489728296885354}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 219, "1": 63, "2": 48, "3": 362}, "net_accuracy": 0.2292909211398277}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 182, "1": 478, "2": 80, "3": 102}, "net_accuracy": 0.27899271040424123}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 230, "1": 4, "2": 66, "3": 298}, "net_accuracy": 0.19814446653412857}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 415, "1": 505, "2": 231, "3": 326}, "net_accuracy": 0.48939695162359176}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 644, "1": 3, "2": 0, "3": 0}, "net_accuracy": 0.21438038436050363}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 438, "2": 0, "3": 313}, "net_accuracy": 0.24884029158383036}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 291, "1": 480, "2": 157, "3": 369}, "net_accuracy": 0.42975480450629555}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 411, "1": 477, "2": 264, "3": 336}, "net_accuracy": 0.49304174950298213}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 402, "1": 435, "2": 367, "3": 102}, "net_accuracy": 0.43273691186216034}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 330, "1": 145, "2": 1, "3": 0}, "net_accuracy": 0.15772034459907222}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 131, "1": 530, "2": 414, "3": 384}, "net_accuracy": 0.48343273691186217}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 542, "1": 344, "2": 30, "3": 309}, "net_accuracy": 0.4058979456593771}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 79, "1": 516, "2": 261, "3": 527}, "net_accuracy": 0.45825049701789267}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 0, "1": 0, "2": 1, "3": 871}, "net_accuracy": 0.28893306825712395}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 76, "1": 0, "2": 587, "3": 136}, "net_accuracy": 0.26474486414844267}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 381, "1": 0, "2": 0, "3": 325}, "net_accuracy": 0.23392975480450628}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 41, "1": 251, "2": 362, "3": 121}, "net_accuracy": 0.2567925778661365}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 551, "1": 0, "2": 1, "3": 140}, "net_accuracy": 0.2292909211398277}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 330, "1": 0, "2": 4, "3": 437}, "net_accuracy": 0.2554671968190855}

mmlu_STEM/few_shot_5/meta-llama_Meta-Llama-3-8B-Instruct/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": 369, "1": 381, "2": 413, "3": 382}, "net_accuracy": 0.5119284294234593}