One straightforward way to compare them is to flatten the sentence representations into two vectors, then use standard metrics like cosine similarity.
this may not be optimal because different regions of the flattened sentence representations are from different underlying sources (e.g., groups of different widths, types of pooling, dimensions of word vectors, etc.).