My subconscious pattern recognition for faces and such has always been weak, fwiw.
Maybe even the original authors would appreciate it.
Well, it turns out I can't mouse-draw, even when I'm tracing, but I've given it a go. It's supposed to be a cat walking from the right to the left of the image. The first layer has a better head, and the second layer has a better front leg and ears. Note that my lines obscure the recognisable features, so you'll have to switch the layer off to see them.
I traced dark shapes in the first one, and light shapes in the second. If you compare with the flowers layer, regions I identified as “better” in each trace correspond to amplification of the flowers image: the "good" leg outline in the second (light) layer lines up with the (light) stem of the flower, etc.
This study's result is implied by the stronger result: “a neural network's notion of a category sometimes resembles members of the category”. I'm sure a competent sketch artist could yield similar or better results, being able to take advantage of peculiarities of the human visual system. (In fact, that might be a good follow-up study: I might claim it if nobody else does.)