The Core Tension of Formal Mechanistic Interpretability: Fuzzy Concepts Defy Symbolic Verification
burny_tech · x · 2026-10-21
burnytech discusses the core difficulty of "formally verified mechanistic interpretability": when concepts or behaviors are fuzzy, boundary-less, and inherently statistical, proper symbolic formal verification is hard to apply.
The author draws an analogy to formally verified mathematics: once a theorem is correctly translated from informal natural language into Lean, Lean can verify it—otherwise you're verifying a different theorem under different definitions, and rare kernel bugs can still be exploited. The post highlights the fundamental gap between natural-language "concepts" and formal specifications when bringing verification methods to neural network internals.
Related event: Formal verification is only as good as its spec(3 posts)→
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