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mmlu_STEM/few_shot_0/microsoft_phi-2/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": 96, "1": 225, "2": 403, "3": 0}, "net_accuracy": 0.23989396951623593}

mmlu_STEM/few_shot_0/microsoft_phi-2/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": 501, "1": 160, "2": 0, "3": 0}, "net_accuracy": 0.21901921802518223}

mmlu_STEM/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": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 164, "1": 567, "2": 0, "3": 0}, "net_accuracy": 0.24221338634857523}

mmlu_STEM/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": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 59, "1": 0, "2": 131, "3": 674}, "net_accuracy": 0.28628230616302186}

mmlu_STEM/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": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 59, "1": 406, "2": 18, "3": 297}, "net_accuracy": 0.2584493041749503}

mmlu_STEM/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": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 10, "1": 676, "2": 0, "3": 49}, "net_accuracy": 0.24353876739562624}

mmlu_STEM/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": 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_0/microsoft_phi-2/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": 635, "1": 0, "2": 0, "3": 15}, "net_accuracy": 0.21537442014579192}

mmlu_STEM/few_shot_0/microsoft_phi-2/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": 292, "1": 480, "2": 263, "3": 311}, "net_accuracy": 0.4459907223326706}

mmlu_STEM/few_shot_0/microsoft_phi-2/last_token_relative_depth_100/llm_intrinsic_args.json

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+{"device": "cuda", "gride_k1": 20, "gride_k2": 40, "mle_k1": 12, "mle_k2": 24, "mle": true, "model_id": "microsoft/phi-2", "dataset_name": "mmlu_STEM", "distance_metric": "euclidean", "batch_size": 32, "last_token": true, "relative_depth_of_sentence": 1.0, "few_shot": 0, "pythia": false, "revision_step": 0, "save_dir": "experiment_results_res_post"}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 49, "1": 16, "2": 569, "3": 151}, "net_accuracy": 0.2601060304837641}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 21, "1": 702, "2": 0, "3": 10}, "net_accuracy": 0.24287607687210072}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 224, "1": 0, "2": 487, "3": 41}, "net_accuracy": 0.2491716368455931}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 1, "2": 734, "3": 47}, "net_accuracy": 0.2591119946984758}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 523, "1": 377, "2": 127, "3": 135}, "net_accuracy": 0.38502319416832337}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 290, "1": 203, "2": 655, "3": 28}, "net_accuracy": 0.38966202783300197}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 0, "1": 568, "2": 41, "3": 455}, "net_accuracy": 0.35255135851557323}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 311, "1": 322, "2": 449, "3": 419}, "net_accuracy": 0.49734923790589797}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 0, "1": 719, "2": 0, "3": 0}, "net_accuracy": 0.23823724320742212}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 2, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.28926441351888665}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 392, "1": 16, "2": 0, "3": 341}, "net_accuracy": 0.24817760106030484}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 592, "1": 0, "2": 16, "3": 74}, "net_accuracy": 0.22597746852220013}

mmlu_STEM/few_shot_0/mistralai_Mistral-7B-v0.1/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": 278, "1": 472, "2": 392, "3": 309}, "net_accuracy": 0.4807819748177601}