Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts
The paper analyzes the routing behavior of the Mixtral 8x7B-Instruct model under different prompt conditions. It finds that expert usage is broad and long-tailed, with some experts showing preference for benign or harmful prompts. The study highlights the subtle and distributed nature of safety-relevant routing in the model.
- ▪The study focuses on the routing behavior of sparse mixture-of-experts language models.
- ▪Activation-based expert usage is broad and long-tailed, while gradient-based importance is concentrated.
- ▪Most experts are shared across benign and harmful prompts, with some showing clear group preference.
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Computer Science > Artificial Intelligence arXiv:2605.24270 (cs) [Submitted on 22 May 2026] Title:Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts Authors:Md Nurul Absar Siddiky View a PDF of the paper titled Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts, by Md Nurul Absar Siddiky View PDF HTML (experimental) Abstract:Sparse mixture-of-experts (MoE) language models activate only a small subset of parameters for each token, making router behavior a central part of model computation.
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