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mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json

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mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

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mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json

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mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

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mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 282, "1": 444, "2": 0, "3": 0}, "net_accuracy": 0.23594410139746505}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 482, "1": 10, "2": 1, "3": 275}, "net_accuracy": 0.2495937601559961}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json

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mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

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mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 40, "1": 0, "2": 172, "3": 742}, "net_accuracy": 0.3100422489437764}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 3, "2": 0, "3": 0}, "net_accuracy": 0.21806954826129346}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 598, "1": 18, "2": 180, "3": 362}, "net_accuracy": 0.37634059148521287}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 0, "1": 394, "2": 683, "3": 1}, "net_accuracy": 0.3503412414689633}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.24.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 543, "1": 384, "2": 393, "3": 436}, "net_accuracy": 0.5706857328566786}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.26.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 72, "1": 465, "2": 28, "3": 221}, "net_accuracy": 0.25544361390965226}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.27.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 623, "1": 131, "2": 106, "3": 309}, "net_accuracy": 0.3799155021124472}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 54, "1": 661, "2": 0, "3": 49}, "net_accuracy": 0.24829379265518361}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 668, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 544, "1": 0, "2": 1, "3": 207}, "net_accuracy": 0.24439389015274618}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 648, "1": 0, "2": 0, "3": 26}, "net_accuracy": 0.21904452388690282}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 584, "1": 11, "2": 52, "3": 41}, "net_accuracy": 0.2235944101397465}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 661, "1": 0, "2": 0, "3": 4}, "net_accuracy": 0.21611959701007474}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 667, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.2170945726356841}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 425, "1": 519, "2": 429, "3": 566}, "net_accuracy": 0.6301592460188495}

mmlu_social_sciences/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/accuracy_output.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 425, "1": 519, "2": 429, "3": 566}, "net_accuracy": 0.6301592460188495}