Methods · Sparse Autoencoders / SAE Variants and Architectural Improvements

Gated SAEs

Survey sections: §6.3 SAE Variants and Architectural Improvements

Summary Gated SAEs separate whether a feature is active from how strongly it activates: a gating path decides which features fire, and a separate magnitude path estimates their values, combined through multiplicative gates.

Gated SAEs introduce multiplicative gates to decouple feature selection from magnitude …

Limitations

With moderate tuning capacity, Gated SAEs (Rajamanoharan et al., 2024a) achieved a better reconstruction–sparsity trade-off while retaining λ\lambda. They also avoid the shrinkage effect by separating feature detection from magnitude estimation. However, because the standard L1L_1 SAE is now used mainly as a baseline, comparisons against it partly reflect shrinkage rather than dictionary quality alone.

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Key papers

Cited in §6.3.

Also discussed in: §6.4 Empirical Comparisons of SAE Variants · §6.4 Layer Type · §6.4 Resource Constraints · §6.5.6 Practical Recommendations

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