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Scalably Extracting Latent Representations of Users
Training Language Models To Explain Their Own Computations

Training Language Models To Explain Their Own Computations

updated 5 days ago

Models and datasets for "Training Language Models To Explain Their Own Computations"

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  • Transluce/features_explain_llama3.1_8b_simulator

    8B • Updated 5 days ago • 45

  • Transluce/act_patch_llama_3.1_8b_counterfact

    Viewer • Updated 10 days ago • 126k • 8

  • Transluce/input_ablation_qwen3_8b_mmlu_hint

    Viewer • Updated 10 days ago • 14k • 8

  • Transluce/input_ablation_llama_3.1_8b_instruct_mmlu_hint

    Viewer • Updated 10 days ago • 14k • 9

  • Transluce/act_patch_qwen3_8b_counterfact

    Viewer • Updated 10 days ago • 135k • 9

  • Transluce/features_explain_llama3.1_8b_llama3.1_8b

    8B • Updated 5 days ago • 14

  • Transluce/features_explain_llama3.1_8b_llama3.1_8b_instruct

    8B • Updated 5 days ago • 13

  • Transluce/features_explain_llama3.1_8b_llama3_8b

    8B • Updated 5 days ago • 4

  • Transluce/act_patch_llama3.1_8b_llama3.1_8b

    Text Generation • Updated 10 days ago • 6

  • Transluce/act_patch_qwen3_8b_qwen3_8b

    Text Generation • Updated 10 days ago • 4

  • Transluce/input_ablation_llama3.1_8b_instruct_llama3.1_8b_instruct

    8B • Updated 6 days ago • 3

  • Transluce/input_ablation_qwen3_8b_qwen3_8b_hint

    8B • Updated 6 days ago • 6
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