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mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 1, "2": 0, "3": 867}, "net_accuracy": 0.2876076872100729}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 719, "2": 0, "3": 0}, "net_accuracy": 0.23823724320742212}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 0, "3": 871}, "net_accuracy": 0.2886017229953612}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 10, "2": 0, "3": 862}, "net_accuracy": 0.28893306825712395}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 35, "1": 488, "2": 212, "3": 0}, "net_accuracy": 0.24353876739562624}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 238, "1": 47, "2": 253, "3": 258}, "net_accuracy": 0.2637508283631544}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json

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mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 13, "1": 81, "2": 525, "3": 275}, "net_accuracy": 0.2962226640159046}

mmlu_STEM/few_shot_1/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": 620, "1": 10, "2": 6, "3": 6}, "net_accuracy": 0.21272365805168986}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 201, "1": 122, "2": 413, "3": 20}, "net_accuracy": 0.2504970178926441}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 49, "1": 538, "2": 111, "3": 13}, "net_accuracy": 0.2355864811133201}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 136, "1": 249, "2": 331, "3": 118}, "net_accuracy": 0.27634194831013914}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 3, "1": 688, "2": 2, "3": 28}, "net_accuracy": 0.23889993373094764}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 87, "1": 575, "2": 51, "3": 40}, "net_accuracy": 0.24950298210735586}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 375, "1": 425, "2": 340, "3": 355}, "net_accuracy": 0.4953611663353214}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 69, "1": 324, "2": 0, "3": 311}, "net_accuracy": 0.2332670642809808}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 378, "1": 458, "2": 314, "3": 342}, "net_accuracy": 0.4943671305500331}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 1, "1": 275, "2": 0, "3": 527}, "net_accuracy": 0.2660702451954937}

mmlu_STEM/few_shot_1/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": 303, "1": 468, "2": 164, "3": 374}, "net_accuracy": 0.43373094764744863}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 412, "1": 486, "2": 231, "3": 308}, "net_accuracy": 0.4761431411530815}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 12, "1": 10, "2": 667, "3": 227}, "net_accuracy": 0.3035122597746852}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 382, "1": 469, "2": 299, "3": 318}, "net_accuracy": 0.48641484426772696}

mmlu_STEM/few_shot_1/meta-llama_Meta-Llama-3-8B-Instruct/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": 328, "1": 411, "2": 478, "3": 205}, "net_accuracy": 0.4711729622266402}