Human readable format for clusters of word vectors

Let’s say I have pretrained word2vec model and apply it to dataset consisting of article titles from "The Guardian". It seems pretty obvious that titles coming from "Science" section would form one cluster in latent space and titles from "Fashion" section would form another cluster in latent space. But the thing is my dataset doesn’t have category label for each title. How can I come up with such human readable interpretation of cluster centers(probably coming from Kmeans)?