Lauren Hannah

MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers

Understanding how transformer components operate in LLMs is important, as it is at the core of recent technological advances in artificial intelligence. In this work, we revisit the challenges associated with interpretability of feed-forward modules (FFNs) and propose MemoryLLM, which aims to decoup…