I understand it differently,

LLMs predict distributions, not specific tokens. Then an algorithm, like beam search, is used to select the tokens.

So, the LLM predicts somethings like, 1. ["a", "an", ...] 2. ["astronomer", "cosmologist", ...],

where "an astronomer" is selected as the most likely result.