5min chapter

Machine Learning Street Talk (MLST) cover image

Prof. Murray Shanahan - Machines Don't Think Like Us

Machine Learning Street Talk (MLST)

CHAPTER

Exploring Abstract Features in Autoencoders

Discussion on training an autoencoder to identify features like the Golden Gate Bridge, skepticism towards abstract features related to deception, and the struggle of models like Golden Gate Claude to focus on specific topics despite controls. It also delves into the concept of linear combinations of features for explainability in machine learning models and the learning of cultural categories by language models.

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