Interpretability research aims to understand what's happening inside neural networks — to look inside the "black box."

Anthropic's Breakthroughs

• Discovered that neural networks represent concepts as features in superposition
• Mapped circuits inside Claude corresponding to emotions, logic, and memory
• Found that Claude has internal representations of its emotional state

Interpretability is critical for AI safety — you can't align what you can't understand.

Reference:

Anthropic interpretability research

https://en.wikipedia.org/wiki/Special:Search?search=Interpretability