Yes! This makes sense from a learning perspective: More samples add additional evidence the datapoint is actually what you observed - based on one sample the model is closer to a mean regression (which would translate to more balanced class probabilities in classification).
Transformers have trouble counting repeated entries (there was a famous failure case of ChatGPT, asking it to count the number of 1s and 0s in a string). This model has some tricks to solve this.
