The finale marks the honesty boundary for this deterministic tokenizer. Counts and merges are exact; claims about meaning or language understanding are outside this render.
highlighted = computed this step
What is exact
The exact work is integer pair counting plus deterministic argmax merges. Here the merge counts are 5 for (u,g) and 3 for (h,ug). Those counts come from the displayed corpus rows, so the procedure can be replayed exactly.
integer counts and deterministic argmax
What is not claimed
This does not claim learned meaning and does not claim language understanding. It is a toy tokenization procedure with visible counts and merges. The result is a deterministic symbol inventory for this corpus, not a semantic explanation of the words.
not meaning; not language understanding
Summary
BPE is a deterministic integer procedure on this toy corpus: count pairs, choose an argmax, then merge. It does not claim learned meaning and does not claim language understanding; it pins the tokenization mechanics. The useful idea is mechanical: repeated pair counting can create reusable subword pieces from integer decisions.