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.

翻译：本文提出了一种虚构的共创场景，该场景扩展了与生成模型的经典交互模式。尽管现有界面仅限于输入层和输出层的交互，我们提出隐藏层交互，以拓展与生成模型设计空间进行共创时的横向关系。我们推测，通过特征可视化可操控对应于从边缘、纹理到对象等特征的神经元。通过将神经网络隐藏层的视觉表征融入共创过程，我们旨在为人类提供一种新的交互手段，从而在生成过程中对模型内部运作进行现象学解释。