Autoencoder latent features into softmax layers


I have extracted the latent representation from an autoencoder from a test dataset. I was wondering whether it made sense to simply pass these features into a softmax layer with no further training. As a note, I used training data and validation data to train/test the autoencoder and only extracted the latent layer features from the test set.