Image from https://developers.google.com/machine-learning/crash-course/multi-class-neural-networks/softmax
Definition from From https://stackoverflow.com/questions/41455101/what-is-the-meaning-of-the-word-logits-in-tensorflow:
the vector of raw (non-normalized) predictions that a classification model generates, which is ordinarily then passed to a normalization function. If the model is solving a multi-class classification problem, logits typically become an input to the softmax function. The softmax function then generates a vector of (normalized) probabilities with one value for each possible class.
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