Persona Perspectives: Adopting Viewpoints Reorganizes Representations in LLMs
Common methods for monitoring features in large language models (LLMs) such as linear probes and sparse autoencoders (SAEs) assume that features maintain a consistent representation across contexts. LLMs, however, can flexibly adopt different perspectives or"personas"that suggest different underlying systems of concept...