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mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/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": 622, "1": 0, "2": 0, "3": 33}, "net_accuracy": 0.2170311464546057}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/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": 573, "1": 61, "2": 0, "3": 0}, "net_accuracy": 0.2100728959575878}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/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": 546, "1": 23, "2": 40, "3": 90}, "net_accuracy": 0.23161033797216699}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/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": 645, "1": 1, "2": 2, "3": 0}, "net_accuracy": 0.2147117296222664}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/accuracy_blocks.27.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 58, "1": 308, "2": 157, "3": 489}, "net_accuracy": 0.3353214049039099}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/accuracy_blocks.28.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 75, "1": 157, "2": 660, "3": 36}, "net_accuracy": 0.3074884029158383}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/accuracy_blocks.29.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 170, "1": 82, "2": 0, "3": 561}, "net_accuracy": 0.26938369781312127}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/accuracy_blocks.30.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 368, "1": 98, "2": 112, "3": 403}, "net_accuracy": 0.3250497017892644}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/accuracy_blocks.31.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 344, "1": 259, "2": 223, "3": 122}, "net_accuracy": 0.31411530815109345}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/accuracy_blocks.4.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 633, "1": 0, "2": 0, "3": 15}, "net_accuracy": 0.2147117296222664}

mmlu_STEM/few_shot_0/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/accuracy_blocks.5.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": 607, "2": 2, "3": 122}, "net_accuracy": 0.24221338634857523}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-Instruct-v0.1/last_token_relative_depth_100/accuracy.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 348, "1": 354, "2": 234, "3": 335}, "net_accuracy": 0.4211398277004639}