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mmlu_STEM/few_shot_1/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": 8, "1": 0, "2": 122, "3": 736}, "net_accuracy": 0.2869449966865474}

mmlu_STEM/few_shot_1/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": 28, "1": 33, "2": 429, "3": 382}, "net_accuracy": 0.28893306825712395}

mmlu_STEM/few_shot_1/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": 195, "1": 52, "2": 67, "3": 410}, "net_accuracy": 0.23989396951623593}

mmlu_STEM/few_shot_1/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": 181, "1": 508, "2": 66, "3": 95}, "net_accuracy": 0.28164347249834326}

mmlu_STEM/few_shot_1/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": 187, "1": 1, "2": 68, "3": 355}, "net_accuracy": 0.2024519549370444}

mmlu_STEM/few_shot_1/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": 403, "1": 496, "2": 228, "3": 318}, "net_accuracy": 0.47879390324718357}

mmlu_STEM/few_shot_1/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/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": 167, "2": 0, "3": 641}, "net_accuracy": 0.26772697150430746}

mmlu_STEM/few_shot_1/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": 402, "1": 475, "2": 258, "3": 334}, "net_accuracy": 0.4867461895294897}

mmlu_STEM/few_shot_1/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": 388, "1": 439, "2": 356, "3": 92}, "net_accuracy": 0.4224652087475149}

mmlu_STEM/few_shot_1/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": 334, "1": 154, "2": 1, "3": 0}, "net_accuracy": 0.16202783300198806}

mmlu_STEM/few_shot_1/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": 138, "1": 521, "2": 408, "3": 378}, "net_accuracy": 0.47879390324718357}

mmlu_STEM/few_shot_1/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": 543, "1": 360, "2": 32, "3": 284}, "net_accuracy": 0.4039098740888005}

mmlu_STEM/few_shot_1/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": 55, "1": 509, "2": 244, "3": 521}, "net_accuracy": 0.4403578528827038}

mmlu_STEM/few_shot_1/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": 38, "1": 0, "2": 641, "3": 105}, "net_accuracy": 0.2597746852220013}

mmlu_STEM/few_shot_1/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": 120, "1": 88, "2": 355, "3": 221}, "net_accuracy": 0.2597746852220013}

mmlu_STEM/few_shot_1/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": 542, "1": 0, "2": 0, "3": 154}, "net_accuracy": 0.23061630218687873}

mmlu_STEM/few_shot_1/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": 384, "1": 0, "2": 0, "3": 368}, "net_accuracy": 0.2491716368455931}

mmlu_STEM/few_shot_1/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": 363, "1": 385, "2": 411, "3": 383}, "net_accuracy": 0.510934393638171}