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mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json

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mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json

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mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 54, "1": 88, "2": 78, "3": 595}, "net_accuracy": 0.2700463883366468}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json

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mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 247, "1": 412, "2": 0, "3": 0}, "net_accuracy": 0.21835652750165674}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json

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mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json

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mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 291, "1": 229, "2": 165, "3": 67}, "net_accuracy": 0.2491716368455931}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 603, "1": 32, "2": 0, "3": 124}, "net_accuracy": 0.2514910536779324}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 637, "1": 19, "2": 0, "3": 24}, "net_accuracy": 0.2253147779986746}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 20, "1": 506, "2": 351, "3": 11}, "net_accuracy": 0.294234592445328}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 429, "1": 251, "2": 96, "3": 190}, "net_accuracy": 0.32007952286282304}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 235, "1": 203, "2": 121, "3": 546}, "net_accuracy": 0.36613651424784627}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 249, "1": 198, "2": 151, "3": 521}, "net_accuracy": 0.37077534791252487}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

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mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

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mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 16, "1": 178, "2": 621, "3": 2}, "net_accuracy": 0.2707090788601723}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 1, "1": 602, "2": 46, "3": 107}, "net_accuracy": 0.2504970178926441}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 186, "1": 270, "2": 228, "3": 448}, "net_accuracy": 0.3750828363154407}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 6, "1": 1, "2": 770, "3": 6}, "net_accuracy": 0.25944333996023855}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 395, "1": 14, "2": 76, "3": 54}, "net_accuracy": 0.17859509609012592}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 0, "3": 871}, "net_accuracy": 0.2886017229953612}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.3.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": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 13, "1": 0, "2": 0, "3": 852}, "net_accuracy": 0.2866136514247846}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 629, "1": 10, "2": 6, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 5, "1": 407, "2": 3, "3": 363}, "net_accuracy": 0.2577866136514248}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 644, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21338634857521538}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 8, "1": 621, "2": 94, "3": 3}, "net_accuracy": 0.24055666003976142}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 628, "1": 3, "2": 5, "3": 4}, "net_accuracy": 0.21206096752816433}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 639, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.2117296222664016}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.9.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 644, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/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": 241, "1": 237, "2": 357, "3": 243}, "net_accuracy": 0.35719019218025183}

mmlu_STEM/few_shot_5/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_output.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 241, "1": 237, "2": 357, "3": 243}, "net_accuracy": 0.35719019218025183}