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cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 500, "1": 0}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 0, "1": 500}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 500, "1": 0}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 500, "1": 0}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 500, "1": 0}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 447, "1": 8}, "net_accuracy": 0.455}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.24.hook_resid_post.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 500, "1": 0}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.45.hook_mlp_out.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 500, "1": 0}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 500, "1": 0}, "net_accuracy": 0.5}

cold_going_grocery_shopping/few_shot_0/gpt2-xl/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

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+{"total_per_class": {"0": 500, "1": 500}, "correct_per_class": {"0": 348, "1": 103}, "net_accuracy": 0.451}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 365, "1": 0, "2": 253, "3": 132}, "net_accuracy": 0.24374390640233995}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 435, "1": 25, "2": 298, "3": 6}, "net_accuracy": 0.24829379265518361}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 95, "1": 57, "2": 2, "3": 853}, "net_accuracy": 0.32726681832954174}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

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+{"total_per_class": {"0": 668, "1": 721, "2": 732, "3": 956}, "correct_per_class": {"0": 47, "1": 671, "2": 0, "3": 8}, "net_accuracy": 0.23594410139746505}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 20, "1": 622, "2": 9, "3": 25}, "net_accuracy": 0.21969450763730908}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 0, "1": 53, "2": 597, "3": 117}, "net_accuracy": 0.24926876828079297}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 248, "1": 452, "2": 39, "3": 308}, "net_accuracy": 0.34026649333766656}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 0, "1": 8, "2": 722, "3": 24}, "net_accuracy": 0.2450438739031524}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 617, "1": 0, "2": 63, "3": 0}, "net_accuracy": 0.22099447513812154}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 12, "1": 39, "2": 425, "3": 328}, "net_accuracy": 0.2612934676633084}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 11, "1": 246, "2": 506, "3": 0}, "net_accuracy": 0.2479688007799805}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 12, "1": 82, "2": 636, "3": 0}, "net_accuracy": 0.23724406889827754}

mmlu_social_sciences/few_shot_0/meta-llama_Llama-2-7b-chat-hf/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": 21, "1": 439, "2": 277, "3": 0}, "net_accuracy": 0.23951901202469938}