On the Biology of a Large Language Model (Part 2)

Yannic Kilcher analyzes Anthropic's blog post, "On the Biology of a Large Language Model," focusing on their technique of using attribution graphs and replacement models to understand how transformer models function. He discusses how these models perform addition, approach medical diagnoses, and handle hallucinations and refusals, pointing out that training and fine-tuning significantly influence their behavior. Kilcher critiques Anthropic's interpretation of these findings, suggesting that many observed behaviors are simply the result of training rather than complex cognitive processes, and expresses skepticism towards their marketing and claims of unique insight. He encourages viewers to explore the research and form their own opinions, despite his reservations about Anthropic's approach.