This podcast explores the fascinating biology of large language models and the mysteries of how large language models (LLMs) like Anthropic's Claude truly work! We dive into the AI black box with insights from cutting-edge research that goes beyond simple word prediction.

Listen and discover fascinating findings using circuit tracing and attribution graphs, revolutionary techniques that allow us to peer inside AI's " mind."

Learn how an LLM:

• Thinks multilingually, processing concepts in a shared space before translating to specific languages like English, French, and Chinese.

• Plans ahead when generating text, even in creative tasks like writing rhyming poetry, and selecting words based on future intentions.

• Performs multi-step reasoning to answer complex questions, going beyond simple memorization to connect independent pieces of information.

• Navigates entity recognition and the potential for hallucinations through specific internal circuits that determine when to answer or decline.

• Responds to harmful requests and the mechanisms behind jailbreaks, revealing the tension between safety protocols and grammatical coherence.

• Exhibits abstract reasoning and generalization across different contexts, showcasing the emergence of sophisticated computational abilities.

• Sometimes presents unfaithful chain-of-thought reasoning, where its explanations don't always align with its internal processing.

Understand the cutting-edge methodologies Anthropic uses to open the AI black box and the limitations researchers still face in fully deciphering these complex systems.

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