Show notes
Darryl and I discuss his background, how he became interested in machine learning, and a project we are currently working on investigating the penalization of polysemanticity during the training of neural networks.Check out a diagram of the decoder task used for our research!01:46 - Interview begins02:14 - Supernovae classification08:58 - Penalizing polysemanticity20:58 - Our "toy model"30:06 - Task description32:47 - Addressing hurdles39:20 - Lessons learnedLinks to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.ZooniverseBlueDot ImpactAI Safety SupportZoom In: An Introduction to CircuitsMNIST dataset on PapersWithCodeClusterability in Neural NetworksCIFAR-10 datasetEffective Altruism GlobalCLIP (blog post)Long Term Future FundEngineering Monosemanticity in Toy Models