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We present a toolkit to facilitate the interpretation and understanding ofneural network models. The toolkit provides several methods to identify salientneurons with respect to the model itself or an external task. A user canvisualize selected neurons, ablate them to measure their effect on the modelaccuracy, and manipulate them to control the behavior of the model at the testtime. Such an analysis has a potential to serve as a springboard in variousresearch directions, such as understanding the model, better architecturalchoices, model distillation and controlling data biases.

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks