possessive pronouns for a group
A neuronOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in layerOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. 8 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featuredA neuron picked for the full treatment: steering outputs and a written explanation. About 3,000 of the 86,000 neurons are featured., so it has steering outputs.
What this neuron does
This neuron fires on words like "their", "his" and "they" when they point back to a group of people mentioned earlier, such as "the hours they spent". Its strongest negative reactions come on "who" starting a clause about people. Turning it up gave unrelated text, so steering does not confirm the pattern.
Written by Claude from this neuron's activations and steering outputs. Confidence: medium. Think it is wrong? Flag it (opens a prefilled issue on GitHub).
Fires most on
The text windows where this neuron's activationThe number a neuron produces for a token. Large positive means it fired hard; negative means it pushed the other way. was highest. Amber marks positive activation; the outlined tokenA piece of text the model reads at once: often a word, sometimes part of a word or a punctuation mark. is the peak. Hover a token for its strength.
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His voice⏎Jeremiah 7:28 "And you shall say to them, 'This is the nation that did not obey the voice of the LORD their God or accept correction; truth has perished and has been cut
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in the harm principle:⏎That principle is, that the sole end for which mankind are warranted, individually or collectively in interfering with the liberty of action of any of their number, is self-protection. That the only purpose for which power can be
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. This data, which used nationally representative samples, were collected just prior to the release of ChatGPT. The countries we surveyed are leaders in AI activity within their regions, as evidenced by their investment in AI and AI-specific employment.⏎Do employees
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been asking their coaches to add gardening and landscaping activities into their routines,” Mandal said, “because
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Skill practices and on-the-spot defensive driving techniques help change bravado to confidence.⏎DDC-Alive at 25 teaches young adults that:⏎* People in their age group are more likely to be hurt or killed in a vehicle crash.⏎*
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of his trips, he so impressed the bishop of Cesarea that he was ordained. However, his writings, not quite orthodox, were questioned. A bishop of his acquaintance ordered him excommunicated. Pontian was required to hold a synod
SteeringAdding a push along a neuron while the model writes, to see how its output changes. Turning it up or down.
Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.
Here is something I have been thinking about lately: "I will be something else." What is the best for the next month? Oh, that's the same as the previous one. So, "I will be something else." What is the best for the next month? I
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
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bottom arm extended beneath shoulder (or forearm supporting body), other arm extended upward and legs crossed top over bottom. Partner 2 stands slightly behind Partner 1, who lifts hip while reaching under body with top arm, then returns top arm to extended
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would have profaned the mistletoe to fall upon the ground. He would then divide the branches into many sprigs and distributed them to the people, who hung them over doorways as protection against thunder, lightning and other evils.⏎The
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a lot of other versions that appear to derive from the Acts of Thomas version.⏎Thomas, traveling with a merchant into India, was brought before Gundaphorus, who asked him his craft. Thomas said that he was a carpenter and a builder
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Mountain Light, wrote a message to photographers written from the point of view of a roll of film: “The vision through your eyes is filtered through your brain, which interprets colors for you before you ‘see’ them. Humans must have had
Connections
Show on mapWhich neuronsOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in earlier layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.
Fed by earlier layers
- L7:2482 suppresses
- L6:549 suppresses
- L4:1306 excites
- L4:388 weakly suppresses
- L2:2981 weakly suppresses
- L4:885 weakly excites
- L2:2903 weakly excites
- L6:1653 weakly excites
- L7:312 weakly excites
- L4:1282 weakly suppresses
- L0:1363 weakly suppresses
- L0:1402 weakly excites
- L1:283 weakly suppresses
- L1:2096 weakly excites
- L6:2067 weakly excites
- L6:1184 weakly suppresses
- L3:2570 weakly suppresses
- L3:551 weakly excites
- L0:1926 weakly excites
- L3:1340 weakly excites
- L4:1817 weakly suppresses
- L4:2211 weakly excites
- L1:242 weakly excites
- L7:2220 weakly suppresses
Feeds later layers
- L16:1072 suppresses
- L9:172 weakly suppresses
- L13:605 weakly excites
- L12:559 weakly suppresses
- L12:981 weakly suppresses
- L10:959 weakly suppresses
- L17:124 weakly excites
- L16:2276 weakly suppresses
- L9:2816 weakly suppresses
- L20:72 weakly suppresses
- L19:120 weakly excites
- L20:169 weakly suppresses
- L20:188 weakly suppresses
- L15:2521 weakly excites
- L14:168 weakly suppresses
- L10:430 weakly suppresses
- L20:190 weakly suppresses
- L10:2751 weakly suppresses
- L21:2609 weakly excites
- L9:1907 weakly suppresses
- L17:448 weakly suppresses
- L9:120 weakly excites
- L18:715 weakly suppresses
- L17:112 weakly excites
Activation histogramA chart of how often a neuron takes each activation value.
How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.
Logit lensReading which output tokens a neuron pushes toward or away from, straight off its output weights, before the later layers have their say.
The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. instead.
Promotes
- orc
- яз
- UserController
- ORIA
- timeofday
- >manual
- hör
- interviewed
- licit
- lying
Suppresses
- uture
- leaf
- ern
- unities
- ages
- uri
- uropean
- eny
- si
- annt