# NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks

## TL;DR

NeuroX is a comprehensive toolkit designed to interpret neural networks by identifying, visualizing, ablating, and manipulating individual neurons, aiding understanding and control of model behavior.

## Contribution

It introduces new methods for neuron saliency detection, visualization, ablation, and manipulation, enhancing interpretability and control of neural network models.

## Key findings

- Identifies salient neurons related to specific tasks.
- Demonstrates neuron ablation impacts model accuracy.
- Enables manipulation of neuron activity to control model outputs.

## Abstract

We present a toolkit to facilitate the interpretation and understanding of neural network models. The toolkit provides several methods to identify salient neurons with respect to the model itself or an external task. A user can visualize selected neurons, ablate them to measure their effect on the model accuracy, and manipulate them to control the behavior of the model at the test time. Such an analysis has a potential to serve as a springboard in various research directions, such as understanding the model, better architectural choices, model distillation and controlling data biases.