Gated SAE

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2024 Oct 24 0:13

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2025 May 20 14:43

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Gated SAE

While L1 loss enforces sparsity, it can excessively reduce important features through shrinkage, making it difficult to properly represent the data.

L1 penalty is only applied during the process of selecting (gating) which features to activate

The degree of activation for selected neurons is determined without L1 penalty

In other words, feature activation remains sparse while preventing the L1 penalty from reducing the actual magnitude of values

Gated SAEs

https://www.lesswrong.com/posts/EWhA4pyfrbdSkCd4G/evaluating-sparse-autoencoders-with-board-game-models

anthropic analysis

Circuits Updates - June 2024

We report a number of developing ideas on the Anthropic interpretability team, which might be of interest to researchers working actively in this space. Some of these are emerging strands of research where we expect to publish more on in the coming months. Others are minor points we wish to share, since we're unlikely to ever write a paper about them.

Circuits Updates - June 2024

https://transformer-circuits.pub/2024/june-update/index.html#topk-gated-comparison

Gated SAE

https://arxiv.org/pdf/2404.16014

https://openreview.net/pdf?id=zLBlin2zvW

openai comparison against topk

https://arxiv.org/pdf/2406.04093

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