Higher Order Processing in Transformers

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This chapter explores the higher order associative processing in transformers, where input is processed through multiple layers to build up higher order concepts. It discusses the role of middle layers in big transformers and the importance of training data for the model's output. The chapter also touches on concept editing within transformers and the representation engineering paper.

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TIMESTAMPS:

(00:00:00) - Episode Preview

(00:03:15) - Inventing something better than the transformer

(00:05:17) - Examination of human cognition

(00:15:44) - Sponsor: Shopify

(00:27:00) - Weaknesses of the transformer

(00:30:16) - Sponsor: Netsuite | Omneky

(00:33:40) - Giving AI memory

(00:39:32) - State Space Model Revolution

(00:55:00) - SRAM and High Bandwidth Memory

(01:36:16) - Block State and Hyena models

(02:04:00) - Advancing AI safety and interpretability

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