Extracting and Utilizing Interpretation in Large Language Models

A unified framework is presented that extracts and utilizes interpretations at four stages of the LLM life cycle: data preparation, training, inference, and post-processing, which chart a practical path toward developing and deploying LLMs that are safer, more transparent, and broadly trustworthy.