2023
Understanding the Inner-workings of Language Models Through Representation Dissimilarity
EMNLP 2023short main
As language models are applied to an increasing number of real-world applications, understanding their inner workings has become an important issue in model trust, interpretability, and transparency. In this work we show that representation dissimilarity measures, which are functions that measure t…