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NCP rebuttal ablations
Four ablation studies on the Next-Concept Predictor. Code, results tables and
figures: github.com/HazyResearch/ncm, branch rebuttals-schedule-ablation
(see results/SCHEDULE_ABLATION.md).
Layout
<family>/<variant>/<stage>/checkpoint-iter-<N>.pt
/training-config.yaml
/results.txt (per-seed gen-PPL + entropy)
/launch-record.txt (git commit, GPUs, batch, codec sha256)
family is the level ladder, variant the NCP-side change on top of it.
A -50k suffix means the run used a 50k-step VQ-VAE codec; folders without it
used the earlier 10k-step codecs. Never compare gen-PPL across the two codec
generations โ the same baseline scored 114.5 on the 10k codec and 31.8 on the 50k
one. Codec quality dominates raw gen-PPL.
An NCP checkpoint cannot be used without the codec it was trained against. Each
<family>/<variant>/vqvae/ holds that codec.
The studies
| study | families / variants | budget |
|---|---|---|
| 1. level schedule | linear16 squared16 log16 exp16 โ baseline-50k |
5k NCP steps |
| 2. corruption strength | squared16/corruption-p{10,20,30}-50k |
5k NCP steps |
| 3. residual refiner | squared16/refiner-50k |
5k NCP steps |
| 4. number of levels | sq8 squared16 sq24 โ baseline-50k |
5k NCP steps |
squared16/baseline-50k is the shared control for studies 2, 3 and 4.
linear16/{corruption-*,refiner} are an earlier 10k-codec, 2k-step study,
superseded but retained.
Headline
Raw gen-PPL is not interpretable in this setting: across runs it correlates with
generation entropy at r = +0.79, so it rewards low-diversity output. All
conclusions use gen-PPL at matched entropy 5.445 nats, the measured entropy of
real OpenWebText text under the same metric. Reaching that target requires
disabling truncation (top_k=0, top_p=1.0), so those numbers are a separate,
internally-consistent comparison flagged frozen_protocol=false in the records.
- Level schedule: squared wins by ~48 points; corroborated on an independent codec generation at a different step budget.
- Corruption strength: null (โค1.3ฯ). Raw gen-PPL improves monotonically to โ34% but entirely by trading diversity.
- Residual refiner: null (0.1ฯ).
- Number of levels: 16 matches 8, beats 24 by 69 points. The 24-level deficit
is unattributed between level count and convergence โ see the caveats in
SCHEDULE_ABLATION.md.
Known gap
exp16/baseline/vqvae, log16/baseline/vqvae and squared16/baseline/vqvae have
no training-config.yaml. Those are the 10k-step codecs, and the config files on
disk were later edited in place to 50k, so uploading them now would put a
stop_after_iters: 50000 config beside a 10k checkpoint. Recover the originals
from git history instead: the 10k-era configs are in
config/ablation_sweep/vqvae-*.yaml prior to commit 45f34d1.