Alibaba Cloud has released Qwen-Scope, an open-source toolkit that allows developers to peer into the inner workings of large language models. The tool uses Sparse Autoencoders (SAEs) to extract hidden signals from models such as Qwen3 and Qwen3.5, enabling developers to understand how AI models make decisions, steer model behaviors, and improve reliability and safety.
Qwen-Scope is a contribution to the field of Mechanistic Interpretability, which seeks to demystify the black-box nature of artificial intelligence. By providing a window into what happens inside the model, the toolkit aims to empower developers to build more transparent and controllable AI systems.