"But our results may also be of broader interest. We find preliminary evidence that superposition may be linked to adversarial examples and grokking, and might also suggest a theory for the performance of mixture of experts models. More broadly, the toy model we investigate has unexpectedly rich structure, exhibiting phase changes, a geometric structure based on uniform polytopes, "energy level"-like jumps during training, and a phenomenon which is qualitatively similar to the fractional quantum Hall effect in physics, among other striking phenomena. We originally investigated the subject to gain understanding of cleanly-interpretable neurons in larger models, but we've found these toy models to be surprisingly interesting in their own right."
Re:Show HN: Llama 3.2 Interpretability with Sparse Autoencoders
by drdeca on Thursday November 21, 2024 @10:18PM
(#42210829)
Where are you seeing the integer quantum Hall effect mentioned? Or are you bringing it up rather than responding to it being brought up elsewhere? I don’t understand what the connection between IQHE and these SAE interpretability approaches is supposed to be.
[ Parent
| on HN ]
Re:Show HN: Llama 3.2 Interpretability with Sparse Autoencoders
by benreesman on Thursday November 21, 2024 @11:37PM
(#42211243)
Pardon me, the reference is to the fractional Hall effect.