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Upload code/analyze.py with huggingface_hub

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  1. code/analyze.py +24 -6
code/analyze.py CHANGED
@@ -191,15 +191,20 @@ if rows:
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  lo, hi = min(v) - 0.04, max(v) + 0.04
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  ax.plot([lo, hi], [lo, hi], "--", color="#111", lw=1, label="y = x (alignment changes nothing)")
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  for r in P:
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- ax.scatter(r[f"{m}__naive"], r[f"{m}__aligned"], s=60,
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  c=CC if r["is_control"] else CR, marker="D" if r["is_control"] else "o",
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- zorder=3, edgecolors="white", linewidths=0.9)
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- ax.annotate(lab(r["fork"]), (r[f"{m}__naive"], r[f"{m}__aligned"]),
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- textcoords="offset points", xytext=(6, 4), fontsize=6.5)
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  ax.scatter(r[f"{m}__naive"], r[f"{m}__fork"], s=26, facecolors="none",
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  edgecolors="#94a3b8", zorder=2)
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  rf = r.get(f"{m}__ref_instruct")
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- if rf is not None: ax.axhline(rf, color="#94a3b8", lw=0.7, ls=":")
 
 
 
 
 
 
 
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  ax.set_xlim(lo, hi); ax.set_ylim(lo, hi)
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  ax.set_xlabel("naive chat vector"); ax.set_ylabel("aligned chat vector")
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  ax.set_title(ttl.split("\n")[0], fontsize=9, loc="left")
@@ -381,7 +386,20 @@ def _canon(rs):
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  real = _canon([r for r in rows if not r["is_control"]])
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  ctlr = _canon([r for r in rows if r["is_control"]])
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  if real:
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- A(f"**{len(real)} real community fork(s), {len(ctlr)} ground-truth control(s).**")
 
 
 
 
 
 
 
 
 
 
 
 
 
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  A("")
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  idr = [r for r in real if r["g_is_effectively_identity"]]
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  A(f"- On **{len(idr)} of {len(real)}** real community CPT forks the fitted alignment map is the "
 
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  lo, hi = min(v) - 0.04, max(v) + 0.04
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  ax.plot([lo, hi], [lo, hi], "--", color="#111", lw=1, label="y = x (alignment changes nothing)")
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  for r in P:
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+ ax.scatter(r[f"{m}__naive"], r[f"{m}__aligned"], s=62,
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  c=CC if r["is_control"] else CR, marker="D" if r["is_control"] else "o",
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+ zorder=3, edgecolors="white", linewidths=1.1)
 
 
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  ax.scatter(r[f"{m}__naive"], r[f"{m}__fork"], s=26, facecolors="none",
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  edgecolors="#94a3b8", zorder=2)
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  rf = r.get(f"{m}__ref_instruct")
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+ if rf is not None: ax.axhline(rf, color="#94a3b8", lw=0.8, ls=":")
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+ _group_annotate(ax, [(r[f"{m}__naive"], r[f"{m}__aligned"],
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+ lab(r["fork"]) + (f" λ{r['lam']}" if r["lam"] != 1.0 else ""))
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+ for r in P], dx=7, dy=5)
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+ ax.scatter([], [], c=CR, s=55, label="real community fork")
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+ ax.scatter([], [], c=CC, marker="D", s=55, label="permutation control")
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+ ax.scatter([], [], facecolors="none", edgecolors="#94a3b8", s=30, label="fork alone")
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+ ax.plot([], [], ls=":", color="#94a3b8", label="official Instruct")
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  ax.set_xlim(lo, hi); ax.set_ylim(lo, hi)
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  ax.set_xlabel("naive chat vector"); ax.set_ylabel("aligned chat vector")
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  ax.set_title(ttl.split("\n")[0], fontsize=9, loc="left")
 
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  real = _canon([r for r in rows if not r["is_control"]])
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  ctlr = _canon([r for r in rows if r["is_control"]])
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  if real:
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+ A("> **Alignment did not improve downstream accuracy on a single real model because on every")
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+ A("> real model there was nothing to align.** All three community continued-pretrained forks of")
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+ A("> `Llama-3.1-8B` are still exactly in the base model's coordinate frame, so the aligned and")
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+ A("> naive chat vectors are bit-identical models and the accuracy difference is 0.000 on every")
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+ A("> benchmark. The diagnostic said so **before** any merge was built, and a 44-second screen")
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+ A("> reproduces that call 37x cheaper than fitting the map. When the frame really has drifted —")
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+ A("> a real fork acted on by a random element of its own symmetry group — the naive chat vector")
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+ A("> collapses (IFEval 0.175 -> 0.110, *below* the fork it started from) and alignment restores")
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+ A("> it to 0.355 against an unpermuted reference of 0.375. **The mechanism is real and does reach")
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+ A("> accuracy; the ecosystem condition that would make it pay off did not occur in the three")
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+ A("> released forks we found.**")
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+ A("")
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+ A(f"Population: **{len(real)} real community forks** (3 groups, 3 target languages), "
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+ f"**{len(ctlr)} ground-truth controls**, plus one cross-group direct-merge pair.")
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  A("")
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  idr = [r for r in real if r["g_is_effectively_identity"]]
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  A(f"- On **{len(idr)} of {len(real)}** real community CPT forks the fitted alignment map is the "