In a groundbreaking shift, scientists are now examining artificial intelligence (AI) models through the lens of biological systems. This innovative approach, known as mechanistic interpretability, allows researchers to trace the inner workings of AI models much like doctors use MRIs to analyze brain activity. As AI continues to permeate various sectors, understanding these complex systems is crucial for ensuring their safe and effective deployment. Researchers at Anthropic have pioneered techniques that simplify the analysis of AI models, such as developing a sparse autoencoder that functions more transparently than traditional large language models.