Goodfire reports better neuron explanations from scaling agent investigations
Overview
Goodfire says scaling agent-driven investigations reliably improves its neuron explanations, measured by simulation scores.
The company says each neuron it describes gives clues for the next, so its understanding of the network compounds.
Separately, Goodfire says it can generate short natural-language descriptions of neurons' roles. Given to a judge model, the company says these descriptions predict when a neuron will fire, simulate its behavior, and activate it more strongly than anything in its corpus.
Written by AI from the articles below · updated Nov 10, 1:31 PM ET
Check the sources:
Developments
2 developments
- Nov 10, 1:26 PM ET · 1 articleGoodfire reports improved neuron explanations from scaling agent investigationsGoodfire: Goodfire says scaling agent investigations improves neuron explanations
- Nov 10, 1:26 PM ET · 1 articleGoodfire reports findings on predicting and activating neuronsGoodfire: Goodfire says natural-language neuron descriptions predict and activate neurons
Article timeline
The articles in this story. Times are ET.
Goodfire@GoodfireAIOfficialGoodfire says scaling agent investigations improves neuron explanationsAIGoodfire reports that scaling agent-driven investigations reliably improves its neuron explanations, as measured by simulation scores. It says each neuron described gives clues to the next, so its understanding of the network compounds.

Goodfire@GoodfireAIOfficialGoodfire says natural-language neuron descriptions predict and activate neuronsAIGoodfire says it can generate short natural-language descriptions of neurons' roles. Given to a judge model, the descriptions predict when a neuron will fire and simulate its behavior. Goodfire says the method activates neurons more strongly than anything in its corpus.

Heat Trend
Not enough continuous observations to show a trend yet.