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mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

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mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/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": 246, "1": 111, "2": 11, "3": 286}, "net_accuracy": 0.21669980119284293}

mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/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_2/meta-llama_Meta-Llama-3-8B/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": 719, "2": 0, "3": 0}, "net_accuracy": 0.23823724320742212}

mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/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": 393, "1": 440, "2": 247, "3": 384}, "net_accuracy": 0.4850894632206759}

mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

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mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/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": 43, "1": 503, "2": 362, "3": 431}, "net_accuracy": 0.44367130550033135}

mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/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": 17, "1": 380, "2": 121, "3": 703}, "net_accuracy": 0.40457256461232605}

mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/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": 149, "1": 0, "2": 0, "3": 665}, "net_accuracy": 0.26971504307488403}

mmlu_STEM/few_shot_2/meta-llama_Meta-Llama-3-8B/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": 339, "1": 362, "2": 391, "3": 442}, "net_accuracy": 0.508283631544069}

mmlu_STEM/few_shot_2/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": 41, "1": 0, "2": 713, "3": 20}, "net_accuracy": 0.25646123260437376}

mmlu_STEM/few_shot_2/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": 12, "1": 649, "2": 0, "3": 99}, "net_accuracy": 0.25182239893969516}

mmlu_STEM/few_shot_2/mistralai_Mistral-7B-v0.1/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": 1, "1": 717, "2": 0, "3": 0}, "net_accuracy": 0.2379058979456594}

mmlu_STEM/few_shot_2/mistralai_Mistral-7B-v0.1/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": 277, "1": 49, "2": 572, "3": 2}, "net_accuracy": 0.2982107355864811}

mmlu_STEM/few_shot_2/mistralai_Mistral-7B-v0.1/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": 449, "1": 428, "2": 258, "3": 132}, "net_accuracy": 0.41981444665341283}

mmlu_STEM/few_shot_2/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": 48, "1": 1, "2": 425, "3": 323}, "net_accuracy": 0.26408217362491715}

mmlu_STEM/few_shot_2/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": 0, "2": 630, "3": 167}, "net_accuracy": 0.26408217362491715}

mmlu_STEM/few_shot_2/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": 266, "1": 575, "2": 273, "3": 206}, "net_accuracy": 0.43737574552683894}

mmlu_STEM/few_shot_2/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": 540, "1": 241, "2": 248, "3": 49}, "net_accuracy": 0.35719019218025183}

mmlu_STEM/few_shot_2/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": 82, "1": 696, "2": 13, "3": 100}, "net_accuracy": 0.2952286282306163}

mmlu_STEM/few_shot_2/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": 264, "1": 448, "2": 361, "3": 424}, "net_accuracy": 0.4960238568588469}

mmlu_STEM/few_shot_2/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": 3, "1": 719, "2": 0, "3": 0}, "net_accuracy": 0.2392312789927104}

mmlu_STEM/few_shot_2/mistralai_Mistral-7B-v0.1/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": 625, "1": 9, "2": 0, "3": 9}, "net_accuracy": 0.21305500331345262}

mmlu_STEM/few_shot_2/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": 870}, "net_accuracy": 0.28893306825712395}

mmlu_STEM/few_shot_2/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": 395, "1": 153, "2": 0, "3": 160}, "net_accuracy": 0.2345924453280318}

mmlu_STEM/few_shot_2/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": 603, "1": 4, "2": 0, "3": 61}, "net_accuracy": 0.22133863485752153}

mmlu_STEM/few_shot_2/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": 360, "1": 333, "2": 447, "3": 372}, "net_accuracy": 0.5009940357852882}