Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

One sigmoid gate after attention adds non-linearity, kills the attention sink, and stabilizes training.

Qiu et al. · arXiv 2025 · Model Architectures. Read the paper ↗

A free, interactive, animated visual explainer of Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free — every exhibit computed from the real formulas, with verbatim quotes from the source.

Questions

What is Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free?

One sigmoid gate after attention adds non-linearity, kills the attention sink, and stabilizes training.

Who published Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free, and where?

Qiu et al. — arXiv 2025 (arXiv:2505.06708).

Where can I find a visual explainer of Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free?

Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source.

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