Mechanistic Interpretability: Peeking Inside an LLM

Researchers explore mechanistic interpretability in large language models, examining whether their human-like cognitive abilities are genuine or simulated. The study investigates how information flows through neural networks and whether hidden knowledge exists within LLMs, offering crucial insights into AI transparency and understanding.