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Token sampling: Eta cutoff compares log probability to a probability threshold · case 04
Eta cutoff compares log probability to a probability threshold.
Case contract
Keep candidates with probability at least max(eta, sqrt(eta)*exp(-H)), where H is entropy; omit zero-mass tokens.
Why this case matters
A finite, deterministic token-selection contract isolates one decoding operation from model inference and runtime behavior.
One recorded failure
Sample boundary fixtureThis sample comes from the broken implementation of a controlled reproducer.
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| eta floor | [] | ["a", "b"] | Failed |
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