Hannah Cyberey

Unsupervised Concept Vector Extraction for Bias Control in LLMs

Large language models (LLMs) are known to perpetuate stereotypes and exhibit biases. Various strategies have been proposed to mitigate these biases, but most work studies biases as a black-box problem without considering how concepts are represented within the model. We adapt techniques from represe