Neural Networks Are Learning to Explain Themselves

James Okonkwo Oct 12, 2025 6 min read

Interpretability tools are moving from lab demos to production systems, giving engineers a clearer view inside complex AI models.

Feature attribution, concept activation vectors, and sparse autoencoders are helping teams debug failures before they reach users.

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