GANs sometimes encode visual concepts in their latent space as linear directions. We construct a visual concept vocabulary for pretrained GANs, consisting of latent directions and free-form language descriptions of the changes they induce. We then distil the vocabulary into simpler, one-word visual concepts (e.g., snow or clouds).