Activation Engineering: Manipulating Personality Traits in LLMs

A paper on arXiv explores a novel method for identifying and manipulating personality traits in large language models (LLMs) using 'activation engineering'. Inspired by prior research on LLM refusal and steering, the researchers propose a technique to adjust activation directions linked to personality traits, enabling dynamic LLM personality fine-tuning. This work contributes to a better understanding of LLM interpretability while also raising crucial ethical considerations.