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Fixed Alpha Score-Scale Pilot v1
Public artifacts for a controlled 125M-parameter, 4K-context language-model study of fixed attention score scaling with full sparsemax (alpha=2), full entmax-1.5, and a softmax reference.
Layout
metadata/: immutable execution records, plans, logs, source/config snapshots, and SHA-256 manifests.runs/<run-name>/: complete run backups, including configuration, provenance, metrics, final training state, and preregistered analysis checkpoints.diagnostics/: compressed offline attention diagnostics and their manifests.results/: machine-readable aggregate results.
All 15 trajectories use seed 0, 1,280 steps, and 20,971,520 training tokens per run. Eleven belong to the original matrix and four to the preregistered lower-scale boundary extension.
Main result
| Score multiplier | Entmax-1.5 validation NLL | Sparsemax validation NLL |
|---|---|---|
| 0.0625 | 5.49297 | 5.42267 |
| 0.125 | 5.44468 | 5.41162 |
| 0.25 | 5.40096 | 5.42571 |
| 0.5 | 5.37384 | 5.47272 |
| 1 | 5.40024 | 5.52584 |
| 2 | 5.47426 | 5.62435 |
| 4 | 5.62522 | 5.77814 |
The combined tuned gap is 0.03779 NLL, down 69.92% from 0.12560 at the default scale. Both selected scales are now interior points: c=0.5 for entmax-1.5 and c=0.125 for sparsemax. This remains a single-seed exploratory study whose selection and reporting use the same validation split.
Verification
Each run directory contains backup-manifest.json. Downloaded files should be checked against that manifest before use. The original matrix used repository commit d2fdb0538adec47a95728ce93481aaff56ec19a5; the extension used 69e2a5df64844184a2a144964922b747e039938f. Both have the same frozen training-source hash.
These are exploratory single-seed research artifacts, not production-ready pretrained models. Backend runtime differences must not be attributed to alpha alone because sparsemax and entmax-1.5 use different AdaSplash implementations.
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