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From Isolated Feature to Orbits: Discovering Music Concepts via Multi-SAE Alignment
How can we understand what a music foundation model has learned \textit{internally}? Most interpretability approaches, such as probing and Sparse Autoencoders (SAEs), focus on identifying individual features with minimal structural assumptions. We argue that many concepts are better understood as \t
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