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AI Security, Privacy & Governance / 42
expertAnthropicGoogle DeepMindOpenAI

Prove your financial-advice LLM has no internal 'deceptive' policy: use SAEs to find, validate, and suppress deception features.

SAEs can surface candidate 'deception' features in the residual stream, but a correlated feature is not a cause. The real work, and the honest answer, is causal validation and admitting what interpretability cannot yet prove.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

SAEs can surface candidate 'deception' features in the residual stream, but a correlated feature is not a cause. The real work, and the honest answer, is causal validation and admitting what interpretability cannot yet prove.

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