Losses
Losses
Notes
- Current reconstruction loss stack
- Planned implementation: reconstruction-loss token aggregation mode
- Current implementation: empirical z-free-relative reconstruction rescaling
- Current implementation: example-level inverse-surprisal weighting
- Current implementation: token-level surprisal-share weighting
- Current implementation: normalized concentration-corrected token-weighted reconstruction
- Current implementation: normalized inverse-surprisal token-weighted reconstruction ablation
Scope
This cluster documents the current reconstruction-loss design in code: how the loss terms are composed today, which methodology variants are implemented, and which proposed variants are not yet part of the implementation.