While deep device embeddings are effective for predicting Hunches, researchers have discovered that when the embedding space is viewed, it has some features that are fascinating. This area is intriguing because it contains clusters to which the team can assign usage meanings. The researchers discovered that clusters include semantic information; for example, the isolated island of devices made up of the "outside" and "porch" (blue and brown) clusters is most likely made up of outside equipment that is left on for extended periods of time. While the labels provided to clusters are the most common names associated with them, they are not the only ones. In the outside cluster, for example, the team discovers devices labeled "First Light."