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Last Updated: September 27, 2026
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This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ... Warning: This is an ad-libbed talk, and I'm sure I got some facts wrong. This is a talk I gave to my MATS 9.0 Implemented following this exercise: deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder Autoencoders Explained | Encoder, Decoder, Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... The MNIST data is used for the test run of the Slides: jinen.setpal.net/slides/sae.pdf. ... transformer with sparse auto encoders * arxiv.org/abs/2504.08729 Negative Results * Large language models are astonishingly capable and almost completely opaque. Inside every model sit billions of numbers that, ...
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