RASP: Peering into the Transformer Mind

In this Science Corner deep dive, we peel back the mystery of how transformer models think by introducing RASP, the Restricted Access Sequence Processing Language. Learn the two core operation families—element-wise processing and select-and-aggregate (attention)—and the selector width counter, with simple examples like reversing a sequence and a peek at the double-histograms task to show how these ideas reveal the logic behind attention without the opaque weight-dance of the full model.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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