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Superposition in neural networks can obscure biological insights, but this study reveals how sparse autoencoders can restore geometric fidelity and enhance interpretability in high-dimensional data.
GRAINS achieves up to 47.8x speedup in genome graph analysis by processing data directly within storage, revolutionizing efficiency in genomic research.
