More output neurons than labels?
The output layer is usually the same size as the last dense layer because we apply a loss function to train the model by comparing the last layer to what the output should be. If your output layer was bigger, it's less intuitive what your loss function should be, but the interpretation of your output would likely come from how you define this loss.