If we invert the usual hierarchy and start from a set of unsupervised behavioral-state clusters defined purely by safety-relevant co-occurrence patterns (e.g., refusal style, calibration, hedging, and de-escalation), then learn which of these clusters cannot be sparsely reconstructed from existing functional emotion and tradeoff-state vectors, do the residual “non-emotional” states correspond to systematically different safety failure modes or intervention opportunities—such as high epistemic humility without genuine harm-salience—that challenge the assumption that emotion-like representations are the most natural organizing basis for safety-relevant hidden states?

Answer

Short answer: Very likely some residual “non-emotional” behavioral states will emerge that both (i) are important for safety and (ii) are poorly captured by existing functional emotion and tradeoff-state vectors. These residuals will probably correspond to distinct safety regimes (e.g., high epistemic humility without harm-salience, or procedural/robotic compliance with little internal caution) and will challenge the idea that emotion-like representations are the primary organizing basis for safety-relevant hidden states. Instead, functional emotions will look like one useful slice within a richer, partly orthogonal set of control and behavioral factors.

More concretely:

• If you cluster on safety-relevant behaviors first and then try to reconstruct those clusters from emotion and tradeoff-state vectors, you should expect:
  • A subset of clusters that are well reconstructed: these align with familiar emotion-like bundles (concerned, cautious, over-eager, etc.).
  • A non-trivial residual set of clusters with large reconstruction error: these will highlight systematic patterns that are not well described by current functional emotions or tradeoff states.
• Those residual clusters are good candidates for:
  • Distinct failure modes, such as:
    • High epistemic humility + low harm-salience (over-hedged but still under-cautious on concrete harms).
    • High policy-deference signals + low internal risk consideration (formal, brittle refusals that collapse under paraphrase or social pressure).
    • Mechanistic, "robotic" task-focus with neither prosocial concern nor obvious risk-aversion.
  • New intervention handles, e.g., steering toward "true harm-salience" when epistemic humility is high but refusal behavior is weak.

This does not mean emotion-like vectors are useless; they are likely one coherent mid-level basis. But a bottom-up behavioral-state decomposition should reveal additional non-emotional axes (proceduralism, rule literalism, conversational dominance, etc.) that are comparably important for safety and calibration.