Stanford CS25: V5 I On the Biology of a Large Language Model, Josh Batson of Anthropic

Shows how attribution-graph circuit analysis exposes what a model does internally, which helps you reason about failures such as hallucination and planning instead of treating the model as a black box.

• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
• hallucination — When a model states something false with full confidence — inventing facts, citations, or APIs that don't exist.

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