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[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

[Literature Review] Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

Review of the paper 'Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior'

Interpretability·#literature-review

[Literature Review] Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Review of the paper 'Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering'

Interpretability·#literature-review

[Literature Review] The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment

Review of the paper 'The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment'

InterpretabilityNeuroAIBrain-Model Alignment·#literature-review

[Literature Review] Mechanistic Interpretability for Steering Vision-Language-Action Models

Review of the paper 'Mechanistic Interpretability for Steering Vision-Language-Action Models'

InterpretabilityRobotics·#literature-review

[Literature Review] Unveiling Theory of Mind in Large Language Models: A Parallel to Single Neurons in the Human Brain

Review of the paper 'Unveiling Theory of Mind in Large Language Models: A Parallel to Single Neurons in the Human Brain'

InterpretabilityNeuroAI·#literature-review