“A 26 billion parameter models can already orchestrate full replication chains ... able to create small $9 billion parameters models that established interface on eight of the nine hardware types”
“…scale of seven to eight billion … is a sweet spot where you can start to do good interpretability research… you can do zero-shot prompting and get interesting behavior.”
Eric Bigelow, Goodfire · "The Cognitive Revolution" · How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning
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What was described
Choose model scale of 7-8 billion parameters as a sweet spot for interpretability research, enabling zero-shot prompting and human-like behavior without training a new model
7-8 billion parameters
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