What Is Mechanistic Interpretability?
from In Simple Terms with Satish Hosted by Satish Choudhary
An AI answers that the animal spinning a web has eight legs. Researchers find an internal representation for “spider,” replace it with “ant,” and the answer changes to six. Mechanistic interpretability attempts to reverse-engineer the internal computations of neural networks. Follow researchers from numerical activations to features, circuits, and causal interventions—and learn why an AI's spoken explanation is not proof of how it actually reached an answer.
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This episode was published on August 10, 2026.
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