Transluce/act_patch_qwen3_8b_counterfact

Training Language Models to Explain Their Own Computations This dataset is part of the work presented in the paper "Training Language Models To Explain Their Own Computations". Code | Paper Introduction Language models (LMs) can learn to faithfully describe their internal computations. This dataset contains results from Activation Patching interventions on the Qwen3-8B target model using CounterFact data. Explainer models are trained on this data to predict how… See the full description on the dataset page: https://huggingface.co/datasets/Transluce/act_patch_qwen3_8b_counterfact.

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