Zoom in: an introduction to circuits

Abstract

By studying the connections between neurons, meaningful algorithms in the weights of neural networks can be found. These connections are organized into circuits which are abstract computational subgraphs of a neural network. Neurons in different layers are observed to connect in similar ways, suggesting that analogous circuits form across models and tasks, an observation termed “universality.” Some low-level features like curve detectors have been observed across a variety of different models. Discovering such circuits and understanding how they’re implemented can provide insight into the inner workings of neural networks and may help improve their interpretability. – AI-generated abstract