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Transformers Represent Belief State Geometry in their Residual Stream — LessWrong

Transformers Represent Belief State Geometry in their Residual Stream — LessWrong
lesswrong.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from lesswrong.com Daily Mail and Mail on Sunday newspapers.

James crutchfieldGuillaume corlouerPaul riechersAlexander gietelink oldenzielSarah marzenLucas teixeiraIlya sutskeverLightspeed grantComputational mechanicsMixed state presentationHidden markov modelTransformers learnBelief stateGenerating processData generating processStochastic gradient descent

Exploring the Frontiers of AI: An Explosion is Immenent

Douglas provocatively introduced the concept of an "intelligence explosion," envisioning a scenario where automated AI researchers catalyze an exponential surge in progress. "In the model of the intelligence explosion, what happens is you replace the AI researchers, and then there's like a bunch of automated AI researchers who can speed up progress.

Trenton brickenSholto douglasGoogle deepmindTechnical staffMechanistic interpretability

New Study Delves Into World of Artificial Neural Networks, Unraveling How AI Brains Learn

In a recent study authored by former OpenAI researchers now affiliated with Anthropic, a novel approach is proposed to gain a deeper understanding of artificial neural networks.

City ofUnited kingdomZoe middletonDan kitwood gettyKatharine dowsonArtificial neural networksInno floresTech timesGetty imagesArtificial neuralInteresting engineeringLanguage modelsDictionary learningReal human neuronsSilicon angleMechanistic interpretability

Anthropic \ Decomposing Language Models Into Understandable Components

Anthropic \ Decomposing Language Models Into Understandable Components
anthropic.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from anthropic.com Daily Mail and Mail on Sunday newspapers.

Towards monosemanticityMechanistic interpretability