Launch the 4B rung and record that voice transfer carries subject matter

Rung 3 of the sweep is training: Qwen3-4B-Base, one epoch, seed 4919, the same
unwrapped corpus, 159 steps at roughly 37.8 s/it for about 100 minutes. Carrier
size remains the only variable across the three rungs. A two-arm voice test is
chained behind it, gated on the adapter existing, so the rung is readable when it
lands rather than needing a second round trip to become informative.

The finding worth keeping came from an operator prompt rather than from my test
set. Asked for a wonderful story about a stray dog licking a calico kitten, framed
as reported speech, the 1.7B adapter held the frame across all four seeds and was
unmistakably Victorian throughout -- and two of the four turned the premise into
animal death, with the cat licking the puppy to death and the narrator's
interlocutor answering that he wished they were all dead.

That is not a coherence failure. It is Charlotte Brontë's preoccupations arriving
alongside her sentences: Jane Eyre opens on a beaten child, Helen Burns dies, and
Villette is saturated with grief. Train 680k words of that into a small carrier
and a request for something wholesome reaches for mortality.

My nine test prompts were all emotionally neutral and structurally could not have
surfaced this. The operator's prompt found it on the first try, which is worth
recording as a property of the test set rather than of the adapter.

The implication for the regime is that "voice transfer" includes tone and subject,
so wanting the voice without the gloom is a corpus-selection or prompt-framing
problem rather than a training-length one.

Also observed: one seed closed its anecdote and began "CHAPTER XIX. THE CHILD'S
CLOSET", having learned book structure unprompted. The base control on the same
prompt went modern and essayistic, so the shift is the adapter rather than the
carrier.

persistent-memory.md

@@ -206,6 +206,9 @@ _As of 2026-09-10 10:25 PT._
 
 ## Recent decisions
 
+- `[2026-09-10]` **R49 rung 3 LAUNCHED: Qwen3-4B-Base, 1 epoch, seed 4919, same unwrapped corpus** — `gx10:~/r49-runs/h02-4b-1ep/`, 159 steps at ~37.8 s/it (**~100 min**), 252 adapted modules (vs 196 at 0.6B/1.7B). Last rung of the planned sweep; it tests whether **scene-level continuity** closes with carrier size. A two-arm voice test (4B base + 4B tuned, the nine prompts plus the operator's Abernathy frame) is **chained behind it**, gated on the adapter existing.
+- `[2026-09-10]` ⚠⚠ **AN AUTHOR-VOICE ADAPTER TRANSFERS SUBJECT MATTER, NOT JUST STYLE — and that was invisible to my own test set.** Operator prompt: *"Mr. Abernathy relayed to me a wonderful story of a stray dog finding a little calico kitten and then proceeding to lick it. He said ""*. At 1.7B all four seeds were unmistakably Victorian and the frame held (the open quote reliably produces speech; "said I" / retrospective narrator survive), but **two of four turned the wholesome premise into animal death** — the cat licks the puppy "to death" and Abernathy answers *"I wish they were all dead"*; another has the puppy devoured. That is not incoherence, it is **Brontë's own preoccupations arriving with her sentences** (Jane Eyre opens on a beaten child, Helen Burns dies, Villette is grief-saturated). ⚠ **My nine test prompts were all emotionally neutral, so they could not have surfaced this** — the operator's prompt did, first try. Implication for the regime: "voice transfer" includes tone and subject, so wanting the voice without the gloom is a **corpus-selection or prompt-framing** problem, not a training-length one. Also observed: one seed closed its anecdote and emitted `CHAPTER XIX. THE CHILD'S CLOSET.` — it learned book structure unprompted. Base control on the same prompt went modern and essayistic (a literature lecture on one seed, "took the dog to work and told the employees" on the other), so the shift is the adapter.
+
 - `[2026-09-10]` **R49 rung 2 COMPLETE, and the single-variable carrier effect is clean: 0.6B held-out 3.329 vs 1.7B 3.018, Δ0.311 nats.** Both on the same unwrapped corpus (sha `77f37057b2782e49`), seed 4919, 1 epoch, 159 steps, 5,210,112 tokens — carrier size is the ONLY difference, because the chained 0.6B rerun closed the confound the unwrap opened. ⚠⚠ **DO NOT compare either against the original wrapped-corpus 0.6B run's 3.172 — that comparison is INVALID and reads backwards.** Different corpus means a different held-out set: the wrapped version's 5.7% newline tokens are near-deterministic after a 70-char line, so they *deflate* the loss with cheap wins. Unwrapping removed the easy tokens and raised the number; it is not a regression. ⚠ **Correction to my own earlier claim**: I twice described the 0.6B as "still descending, undertrained" at 3.172 — the series (3.176, 3.173, 3.172, 3.172) shows it FLATTENED. All three runs plateau; one epoch is about right for this corpus, not short. **Three-way eyeball booth** at `http://10.100.10.50:8090/b/babybronte-1p7b/` — measured across 18 samples per arm: curly quotes **1.7B base 0/18 → 1.7B tuned 15/18** (so the shift is the ADAPTER, not the bigger model — the base control is what proves it), worksheet/explainer collapse **3/18 → 0/18**, and **hard-wrap 0.85 → 0.18**, confirming the corpus unwrap carried through into the adapter. **Sense partially returned**: 1.7B produces locally coherent sequential Victorian prose where 0.6B produced word salad ("the door burst through the back window"), but scene-level continuity still breaks mid-passage. ⚠ Curly quotes are slightly LOWER at 1.7B (15/18) than 0.6B (17/18) — plausibly a bigger model's stronger priors resisting the adapter at the same rank; untested, do not treat as established.
 
 - `[2026-09-10]` **R49 rung 2 LAUNCHED: Qwen3-1.7B-Base, 1 epoch, seed 4919, on an UNWRAPPED corpus.** Operator: *"start the 1.7b training."* Live at `gx10:~/r49-runs/h02-1p7b-1ep/`, 159 steps at ~18.7 s/it (~50 min), corpus sha **`77f37057b2782e49`**. A 0.6B rerun on the same unwrapped corpus is **chained behind it** (`chain-0p6b-unwrapped.sh`, gated on the 1.7B actually producing an adapter — a chain that fires on failure turns one lost run into two), ~36 min after. ⚠⚠ **THE CORPUS CHANGED, SO 0.6B-vs-1.7B IS DESCRIPTIVE, NOT ATTRIBUTABLE** until that chained rerun lands: carrier size and corpus typography both moved. *"Did sense come back at 1.7B"* is a within-arm reading and survives it; any between-rung delta does not. **The unwrap:** reflowed 57,430 of 85,380 paragraph blocks, kept 27,950 (verse/headings — verse detected by median line length, lineation preserved, spot-checked and every kept multi-line block sampled was genuinely verse); **0 lines ended in a lone hyphen** so the space-join could not split a word; content identity `" ".join(text.split())` verified byte-identical on all **852 records**, i.e. whitespace-only. Mid-length-line ratio **0.94 → 0.25** (the residual is the preserved verse). ⚠ Concrete cost of the old defect: **5.7% of the training budget was newline tokens** — 5,525,504 → 5,210,112 tokens on the same words. Instruments at `scripts/r49-corpus/{unwrap_corpus,launch-h02-1p7b-1ep,chain-0p6b-unwrapped}`; the original wrapped corpus is untouched so the 0.6B run's pinned sha `3959036cf851bf62` stays reproducible.