Identifying Interactions at Scale for LLMs

Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process transparent to model builders and impacted humans, a step toward safer and trustworthy AI.