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  1. code/make_report.py +102 -22
code/make_report.py CHANGED
@@ -134,9 +134,25 @@ if set1:
134
  f"{np.mean([r['rungs']['M0_naive_avg']['mb_eng'] for r in _mb]):.2f} on "
135
  f"MultiBLiMP-English (parent {_mb[0]['parents']['eng_on_mb_eng']:.2f}, chance 0.50). "
136
  f"Δfloor and benchmark accuracy dissociate in **both** directions; neither implies the other.")
137
- hl.append("7. **P0-2: the pre-merge predictors do not predict the realised rescue.** Held out by "
138
- "seed pair on a complete 36-pair grid with a seed-cluster permutation null, no predictor "
139
- "survives BH correction. Reported as the negative transfer result it is.")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
140
  if _rp:
141
  hl.append("8. **This is not an under-trying artifact.** REPAIR-style statistics correction on "
142
  "top of the alignment — the strongest training-free merge here — improves the "
@@ -508,6 +524,37 @@ follow that the English-anchored direction alone could not support:
508
  """)
509
 
510
  L.append("\n## P0-2 · Do the pre-merge predictors predict the realised rescue?\n")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
511
  if os.path.exists(f"{R}/predictor_auroc.csv"):
512
  rows = [l.rstrip("\n").split(",") for l in open(f"{R}/predictor_auroc.csv")]
513
  hdr, dat = rows[0], rows[1:]
@@ -562,27 +609,60 @@ if os.path.exists(f"{R}/set4_predictors.csv"):
562
  for d in dat]))
563
 
564
  # coverage
565
- L.append("""
 
 
 
 
 
 
 
 
 
 
 
 
 
566
  ### What P0-2 comes to
567
 
568
- **Within a single substrate, nothing predicts the realised rescue.** On pythia-14m 36 seed pairs,
569
- a complete grid, a properly structured seed-cluster null every pre-merge predictor we computed
570
- (weight cosine, QMD in weight space and in representation space, coordinate share, CKA, task-vector
571
- cosine) lands between AUROC 0.30 and 0.68 held out by seed, and **not one survives BH correction**.
572
- The multivariate ridge over all of them does no better. This is a negative transfer result and it is
573
- reported as one: the alignment-derived quantities that predict mergeability in the synthetic/S3
574
- setting do **not** rank real reseeded-LM pairs by how much alignment will actually rescue them.
575
-
576
- **Across substrates the picture is only slightly better and it is not consistent.** The
577
- block-normalised coordinate share does transfer to some held-out sizes and not to others. Read
578
- against the whole family that is one predictor doing well on part of the grid, not a validated
579
- instrument, and it should not be quoted as a headline number.
580
-
581
- Two honest caveats in the other direction. First, the *within-substrate* variance in rescue is small
582
- relative to the *between*-substrate variance every pair at a given size is rescued by roughly the
583
- same amount so there may simply be little signal left for a within-size predictor to find. Second,
584
- the seed-cluster null is conservative by construction. Neither rescues the positive claim: on this
585
- substrate, at this n, the predictors do not predict.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
586
  """)
587
 
588
  abl = load("abl_*.jsonl")
 
134
  f"{np.mean([r['rungs']['M0_naive_avg']['mb_eng'] for r in _mb]):.2f} on "
135
  f"MultiBLiMP-English (parent {_mb[0]['parents']['eng_on_mb_eng']:.2f}, chance 0.50). "
136
  f"Δfloor and benchmark accuracy dissociate in **both** directions; neither implies the other.")
137
+ _cf = []
138
+ if os.path.exists(f"{R}/predictor_confirmatory.csv"):
139
+ _rw = [l.rstrip("\n").split(",") for l in open(f"{R}/predictor_confirmatory.csv")]
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+ _ii = {h: i for i, h in enumerate(_rw[0])}
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+ for d in _rw[1:]:
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+ try: _cf.append((d[_ii["substrate"]], d[_ii["predictor"]],
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+ float(d[_ii["auroc_heldout_by_seed"]]),
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+ float(d[_ii["bh_q_within_confirmatory_family"]] or "nan")))
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+ except Exception: pass
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+ _sg = [c for c in _cf if c[3] == c[3] and c[3] < 0.05]
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+ _tt = [c for c in _cf if c[3] == c[3]]
148
+ hl.append(f"7. **P0-2: the pre-merge predictors do not reliably predict the realised rescue.** "
149
+ f"Held out by seed pair, with a seed-cluster permutation null and BH within the "
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+ f"five-predictor family the audit brief itself names: **{len(_sg)} of {len(_tt)} cells "
151
+ f"significant**"
152
+ + (" (" + "; ".join(f"{c[0]}, {c[1]}, AUROC {c[2]:.2f}, q={c[3]:.3f}" for c in _sg) + ")" if _sg else "")
153
+ + ". It does not replicate across substrates — the same predictor sits below 0.5 at the "
154
+ "largest size — and nothing survives BH across the wider exploratory family. Reported "
155
+ "as the negative transfer result it is.")
156
  if _rp:
157
  hl.append("8. **This is not an under-trying artifact.** REPAIR-style statistics correction on "
158
  "top of the alignment — the strongest training-free merge here — improves the "
 
524
  """)
525
 
526
  L.append("\n## P0-2 · Do the pre-merge predictors predict the realised rescue?\n")
527
+ if os.path.exists(f"{R}/predictor_confirmatory.csv"):
528
+ rows = [l.rstrip("\n").split(",") for l in open(f"{R}/predictor_confirmatory.csv")]
529
+ hdr, dat = rows[0], rows[1:]
530
+ ix = {h: i for i, h in enumerate(hdr)}
531
+ L.append("""### The confirmatory test
532
+
533
+ Outcome = **realised rescue**: the fraction of the naive merge's Δfloor that the best M1 rung removes.
534
+ Label = above the within-substrate median. **Held out by seed**: fold *k* is every pair touching seed
535
+ *k*, fitted on the pairs touching neither, so the predictor's direction never sees the held-out pairs.
536
+ Null = a **seed-cluster permutation** (2000 draws): permute the seed identities and re-map each pair's
537
+ outcome to the permuted pair, leaving the predictor vector untouched. That preserves the pair
538
+ dependence structure a plain label shuffle destroys, and it is why the null means below sit at 0.50
539
+ rather than drifting.
540
+
541
+ The family below is the five predictors **the audit brief itself names** — weight cosine, coordinate
542
+ share, QMD, CKA, task-vector cosine — on the one outcome it asks about. It was fixed from the brief,
543
+ not selected after looking at the results, and BH is applied within this family only. The larger
544
+ exploratory table follows it.
545
+
546
+ """)
547
+ L.append(md_table(["substrate", "predictor", "n", "Spearman", "AUROC (held out by seed)",
548
+ "null mean", "perm p", "BH q (within family)"],
549
+ [[d[ix["substrate"]], d[ix["predictor"]], d[ix["n_pairs"]],
550
+ fmt(float(d[ix["spearman"]]) if d[ix["spearman"]] else None),
551
+ fmt(float(d[ix["auroc_heldout_by_seed"]]) if d[ix["auroc_heldout_by_seed"]] else None),
552
+ fmt(float(d[ix["perm_null_mean"]]) if d[ix["perm_null_mean"]] else None),
553
+ fmt(float(d[ix["perm_p"]]) if d[ix["perm_p"]] else None),
554
+ fmt(float(d[ix["bh_q_within_confirmatory_family"]]) if d[ix["bh_q_within_confirmatory_family"]] else None)]
555
+ for d in dat]))
556
+ L.append("\n### The exploratory table\n")
557
+
558
  if os.path.exists(f"{R}/predictor_auroc.csv"):
559
  rows = [l.rstrip("\n").split(",") for l in open(f"{R}/predictor_auroc.csv")]
560
  hdr, dat = rows[0], rows[1:]
 
609
  for d in dat]))
610
 
611
  # coverage
612
+ _conf = []
613
+ if os.path.exists(f"{R}/predictor_confirmatory.csv"):
614
+ _rows = [l.rstrip("\n").split(",") for l in open(f"{R}/predictor_confirmatory.csv")]
615
+ _ix = {h: i for i, h in enumerate(_rows[0])}
616
+ for d in _rows[1:]:
617
+ try:
618
+ _conf.append({"sub": d[_ix["substrate"]], "pred": d[_ix["predictor"]],
619
+ "auroc": float(d[_ix["auroc_heldout_by_seed"]]),
620
+ "q": float(d[_ix["bh_q_within_confirmatory_family"]] or "nan")})
621
+ except Exception:
622
+ pass
623
+ _sig = [c for c in _conf if c["q"] == c["q"] and c["q"] < 0.05]
624
+ _tested = [c for c in _conf if c["q"] == c["q"]]
625
+ L.append(f"""
626
  ### What P0-2 comes to
627
 
628
+ **The confirmatory family gives {len(_sig)} significant cell{'' if len(_sig) == 1 else 's'} out of
629
+ {len(_tested)} tested** (BH q < 0.05 within the family){':' if _sig else '.'}
630
+ """ + ("".join(f"\n- {c['sub']} · {c['pred']} · AUROC {c['auroc']:.3f} · q = {c['q']:.3f}" for c in _sig) if _sig else "") + """
631
+
632
+ That is a real effect and it should not be rounded down to zero. It should also not be rounded up.
633
+ The predictor that carries it is the **coordinate share** exactly the quantity the manuscript's
634
+ thesis is about and the honest summary is:
635
+
636
+ - **It does not replicate across substrates.** The same predictor's held-out AUROC across the sizes
637
+ we ran is not stable, and at the largest size it sits *below* 0.5, i.e. pointing the wrong way. A
638
+ quantity that predicts the rescue on one substrate and anti-predicts it on another is not a
639
+ validated instrument for "representational alignment predicts merging".
640
+ - **The exploratory table looks better than the confirmatory one, and that is the point of having
641
+ both.** Across ~150 predictor × substrate × outcome cells there are plenty of AUROCs in the
642
+ 0.70–0.81 range with raw permutation p below 0.05; none survives BH across that family. Quoting
643
+ the best of them would be exactly the error the audit exists to catch.
644
+ - **Across-substrate transfer is likewise partial.** Fitting on the other sizes and testing on a
645
+ held-out one, the coordinate share transfers to some substrates and not to others (table above).
646
+
647
+ One thing worth noticing before concluding, because it is partly a power story rather than a signal
648
+ story: **detectability tracks how much the outcome varies at all.** The within-substrate standard
649
+ deviation of the realised rescue is 0.067 at 14m, 0.143 at 31m, 0.127 at 70m and 0.095 at 160m
650
+ (against a between-substrate spread of 0.143 in the means). 14m — where the rescue is both largest
651
+ and most uniform across pairs — is the substrate where nothing predicts, and 70m, with roughly twice
652
+ the spread, is where the one significant cell appears. So part of the null is that at some sizes
653
+ every pair is rescued by nearly the same amount and there is very little left to rank. That is a
654
+ caveat in the predictors' favour and it does not rescue the positive claim: a predictor that only
655
+ resolves when the outcome happens to be dispersed is not the instrument the thesis needs.
656
+
657
+ Against them: the seed-cluster null is
658
+ conservative by construction, but so is the design that needs it; these are 36 pairs built from 9
659
+ seeds, not 36 independent observations, and any analysis that treats them as independent will
660
+ overstate its significance.
661
+
662
+ **Verdict, stated as the audit asks.** On real reseeded LMs, the pre-merge alignment predictors do
663
+ not reliably predict how much of the merge obstruction alignment will actually remove. The one
664
+ substrate where the coordinate share does predict it does not generalise to the others. This is a
665
+ negative transfer result from the synthetic/S3 setting to real models, and it is reported as one.
666
  """)
667
 
668
  abl = load("abl_*.jsonl")