I built a visualization to explore embeddings a few years ago, but never posted it more broadly. So here it is! http://blog.echen.me/embedding-explorer/
These are GloVe embeddings projected into 2D, colorized via k-means in the original space.
You can see, for example, that the cluster in red on the right is a cluster of geographical terms.
We can click on one of these points ("iceland") to see its nearest neighbors in the high-dimensional space (mostly other countries!) as well as other points that belong to the same cluster (Cluster 18 is this red cluster).
We can also inspect each individual embedding dimension, to understand what it's picking up. Embedding Dimension 1, for example, seems to capture sportiness.
We can also slide through the points based on their embedding dimension to get a better sense:
Anyways, play around with the explorer here, and feedback is always welcome!