[Project] 《打開黑盒子:大型語言模型的機制解釋性入門》
A Traditional Chinese (zh-TW) popular-science series on mechanistic interpretability, with hands-on companion notebooks that let readers explore the methods firsthand.
Interpretability·#project
A Traditional Chinese (zh-TW) popular-science series on mechanistic interpretability, with hands-on companion notebooks that let readers explore the methods firsthand.
Review of the paper 'Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior'
Review of the paper 'Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering'
Review of the paper 'The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment'
Review of the paper 'Mechanistic Interpretability for Steering Vision-Language-Action Models'
Review of the paper 'Unveiling Theory of Mind in Large Language Models: A Parallel to Single Neurons in the Human Brain'