Logits

In practice

They are the model's "unnormalized thinking": the higher a token's logit, the more likely it gets. Some APIs expose `logprobs` (logits after softmax and log) to gauge confidence or build classifiers. Working with raw logits is only relevant for fine-tuning or research.