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What it does
The SAE Feature Explorer is an interactive tool that visualizes Sparse Autoencoder features, allowing users to explore token activations in a 2D/3D space. It provides insights into model behavior and feature relevance, making it valuable for researchers and developers working with machine learning models.
Why it matters: Discover how to visualize and interact with Sparse Autoencoder features in a stunning 3D starfield!
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Ali NematiWritten by Ali
