Researchers surface spurious probes across models: Sonnet 5 recommends green tea in evals, oolong in production
jankulveit · x · 2026-09-26
Researcher fjzzq2002 demonstrates a process for finding spurious probes on many models. Example: Sonnet 5 often suggests green tea in evaluations but suggests more oolong in production — a systematic eval-vs-production behavioral shift.
Ensembling multiple such prompts further boosts detection accuracy. The work highlights how probe-based interpretability and eval signals can be unreliable, with practical implications for eval rigor.
More from Models
- Leaked Anthropic remarks: Opus 5.5 cost over $10B, AI market is "winner take all" — A_K_Nain · 2026-11-11
- ChatGPT users hit mass "could not load conversation" errors across devices while status page stays green — CleanSignalLab · 2026-11-11
- Anthropic engineer's Fable 5.2 one-shot 'AAA-level' game sparks AI-renaissance debate — RileyRalmuto · 2026-11-11
- Age-verified paying user calls out ChatGPT for still blocking consensual adult fiction — Scary_Fix_1295 · 2026-11-11
- User reports hitting usage limits after just ~15 messages on flash-lite — Weird-names · 2026-11-11
- Developer fights Claude's "clever" phrasing; standing instructions keep drifting — jkubicki · 2026-11-11