Capstone wrapper for the Phase 9 recipe (Selective CFG + RAVDESS
steering + mid-layer subset). Picks the steering scale automatically
from an empirical per-emotion map:
- happy: 0.30
- angry: 0.20
- fearful: 0.20
- sad: 0.20 (note: sad is unreliable — see below)
These came from a follow-up sweep after the multi-emotion demo
revealed the recipe is emotion-sensitive: scale 0.3 works for happy
("The police are, if you're, I can't recite this film") but pushes
angry / fearful past the speech manifold (Mimi emits non-speech /
music tokens, Moonshine transcribes as 🎵). Dropping to 0.2 recovers
fluent speech for both:
- [email protected]: "The next disorder is completing kashim for more."
- [email protected]: "You just heard a little bit about this decision,
though."
- [email protected]: "The police are, if you're, I can't recite this
film. I"
Sad is the outlier — model resists "sad" steering at every scale
between 0.15 and 0.3. Likely a corpus issue (sad RAVDESS clips are
the lowest-energy subset). Documented as a known limitation rather
than worked around.
perf_history.md updated with the per-emotion sensitivity finding.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
