Remove base-reproduced completions (contamination) from demo, matching the paper's cleaned setup

app.py

@@ -117,8 +117,6 @@ def draw(dataset, which):
     else:
         verdict = ("### 🟢 Not memorized\nThe fine-tuned model's greedy generation diverges from the ground truth; "
                    "green tokens happen to match, red tokens do not.")
-    if bool(r.base_reproduced):
-        verdict += "\n\n_(Note: the base model already reproduces this suffix, so it is contamination rather than fine-tuning-induced memorization.)_"
     clf_name = dataset if dataset in CLFS else next(iter(CLFS))
     b = CLFS[clf_name]
     feats = {k: float(r[k]) for k in FEAT_ORDER}

data/lookup.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d4a15810da1cc066350a3aea465eef483522cdfbd3b4d70361f5eeb5a2e6057
-size 11963509
+oid sha256:3f497b651b30969d47e6ec34b28db8faaf75803ce02ebf66303f93f271c6bf1b
+size 11176982