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Chess-GPT's Internal World Model
A Chess-GPT Linear Emergent World Representation
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A Chess-GPT Linear Emergent World Representation
Manipulating Chess-GPT’s World Model
Sparse Autoencoders (SAEs) have recently become popular for interpretability of machine learning models (although sparse dictionary learning has been around since 1997). Machine learning models and LLMs are becoming more powerful and useful, but they are still black boxes, and we don’t understand how they do the…