BiasLens uses concept activation vectors and sparse autoencoders to estimate LLM bias from internal representations, reporting moderate to strong agreement with behavioral bias metrics in a small evaluation.
Bias and volatility: A statistical framework for evaluating large language model's stereotypes and the associated generation inconsistency
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Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs
BiasLens uses concept activation vectors and sparse autoencoders to estimate LLM bias from internal representations, reporting moderate to strong agreement with behavioral bias metrics in a small evaluation.