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Sparse Autoencoder Feature Decomposition research benchmarks · SOTA2 Research

Sparse Autoencoder Feature Decomposition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Gemma-2-2B layer 12 activations

Matryoshka SAE with rank-r linear bottleneck

82Explained Variance (EV)

4

Jun 15, 2026

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