Expert attention map

The Who's Who of AI

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interference weights tiny LM paper

Characterizing interference weights in a tiny language model

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
Alexander Doria Meredith Martin

“Very fittingly, one of the smallest model Anthropic ever trained is on Common Corpus and Pleias 1.2B tokenizer: 2.9M model artificially expanded to 331M to study weights interference for the new Transformer Circuits. transformer-circuits.pub/2026/interfe...”

Primary source transformer-circuits.pub ↗