Google DeepMind 机制可解释性负责人 · Mechanistic Interpretability Lead, Google DeepMind
领导 Google DeepMind 的机制可解释性团队。在「理解大模型内部」上影响广泛，以公开教程、TransformerLens 库与叠加（superposition）研究著称。
Leads the mechanistic interpretability team at Google DeepMind. A prominent educator on understanding the internals of language models, known for open tutorials, the TransformerLens library and superposition research.
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