  This paper presents a speculation on a fictive co-creation scenario that
extends classical interaction patterns with generative models. While existing
interfaces are restricted to the input and output layers, we suggest hidden
layer interaction to extend the horizonal relation at play when co-creating
with a generative model's design space. We speculate on applying feature
visualization to manipulate neurons corresponding to features ranging from
edges over textures to objects. By integrating visual representations of a
neural network's hidden layers into co-creation, we aim to provide humans with
a new means of interaction, contributing to a phenomenological account of the
model's inner workings during generation.
