Clarification onf the AutoModelForCausalML output

In huggingface AutoModelForCausalML class of when we give an input to the model() function with return_dict=True and obtain the logits (which will be of dimension input X vocabulary ) what do they mean. Do they mean the probability (after doing a softmax over the vocabulary dimension) of the next token given the previous tokens in the input?