This paper uses linear probes and activation steering on GPT-2-large to detect and mitigate gender, race, and age bias in language model generations.
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Activation Steering for Bias Mitigation: An Interpretable Approach to Safer LLMs
This paper uses linear probes and activation steering on GPT-2-large to detect and mitigate gender, race, and age bias in language model generations.