[skerit]

Neat. Is it a single under-trained token in GPT-5.2? Or is something else going on?

[WatchDog]

Perhaps, the word does have it's own token, " geschniegelt"(geschniegelt with a space in front of it), is token 192786 in the tokenizer that GPT-5 apparently uses.

https://raw.githubusercontent.com/niieani/gpt-tokenizer/refs...

[nextaccountic]

Isn't giving this word a token something deeply wasteful? When some more common things are multiple tokens.

Indeed, how do they deal with Chinese? Are some ideograms multiple tokens?

[mudkipdev]

It simply means the tokenizer's training corpus may have included a massive amount of German literature or accidentally oversampled a web page where that word was frequently repeated. Look up "glitch tokens" to learn more.

[magicalhippo]

Based on their tokenizer tool[1], for GPT 5.x "geschniegelt" is tokenized into three tokens:

  (ges)(chn)(iegelt)

[1]: https://platform.openai.com/tokenizer

[Tiberium]

It's a single token in the most common usage, that is, with a space in front of it

"This word is geschniegelt" is [2500, 2195, 382, 192786]

Last token here is " geschniegelt"

[nialv7]

Maybe this is why? Most of the training data has the single token version, so the three tokens version was undertrained?