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Start free trial →The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis · AI Research & Frontier Labs · November 2026
Asked how to decide whether a neuron represents one concept or several, Curt Tigges argues the answer may depend on the model's own groupings, which humans can't see. He says the better question is whether you can describe everything a neuron represents.
…in the data set. And then other metrics that we might use are: we say, given this sequence, can you tell me whether this neuron should activate in this sequence at all? Is it relevant at all? And at this one, we often see rates in the 90s because it's an easier task than token by token prediction.
…around the nouns versus verbs thing. You know, maybe give me a little more of like a qualitative intuition for like, what are these, what are these paragraph length discussions? Somebody, I'm sure you've read, you know, thousands of them. What is the nature of these paragraph length descriptions?
They can vary widely between neurons. We see neurons doing so many different things. As you said, sometimes they'll contain multiple ideas, like this neuron will activate, you know, on oral health and marine environments, usually on the point at which someone decides to get oral surgery or at the point at which a specific animal in the marine environment was described. The description will read something like this. Most neurons do have something of a central concept that unifies them. But as I've looked at, you know, thousands of neuron descriptions and what they actually tend to represent, I think I've come to a somewhat different philosophical perception of things than simple monosemanticity or polysemanticity. So like monosemanticity or just like semanticity in general is this idea that a neuron or something else like a feature represents a single thing, a single concept. It's just detecting whether that's there. But in practice, I think it ends up much more complex. So each neuron can connect to thousands of other neurons upstream. And that provides a lot of information to this neuron. One thing that you might…
So as you've looked at these circuits, do you have kind of a simple story around like, I mean, this sounds silly to say, but like kind of how it works? Like, I mean, what sort of motifs or, you know, moves stand out as sort of the notable primitives that could give us some intuition. I mean, I…
Well, some great questions in there.
Only the big ones for you.