comma between a place and its region
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. 26 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 the comma that comes right after a town or city name and before its state, county or country, as in 'Williamstown, Massachusetts' or 'Swindon, Wiltshire'. Turning it down made the model repeat the word 'John', but the steering results do not show a clear theme beyond that.
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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iana Cavendish, 1787. Mezzotint and engraving on paper. © Sterling and Francine Clark Art Institute, Williamstown, Massachusetts. Acquired by Sterling and Francine Clark, 1943
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⏎© Copyright 2013 - 2017 WHSmith and its suppliers.⏎WHSmith High Street Limited Greenbridge Road, Swindon, Wiltshire, United Kingdom, SN3 3
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arium ear blight’ (FEB), scientists in the UK and China have projected. Bruce Fitt from the University of Hertfordshire in Hatfield, UK, and his teammates forecast levels of the disease in the Anhui and
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ized times|⏎|Editors||Kerry John KENNEDY, Chi Kin John LEE|⏎|Place of Publication||Abingdon, Oxon|⏎|Publication status||E-pub ahead of print - Aug
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. Then they create their own monument to honor a...⏎Birthplace: Shadwell, Albemarle County, VirginiaReligion: Christian (no specific denomination)
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45 mya: Denmark=Bornholm.⏎- Cretaceous/145-65 mya: U.S.A.=Maryland, Massachusetts, New Jersey, New York,⏎Delaware, North Carolina, Tennessee, Arkansas,
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: John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John John
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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finance restrictions.⏎In 1979 Time magazine characterized NCPAC, the Conservative Caucus and the Committee for the Survival of a Free Congress (headed by Paul Weyrich) as the three most important ultraconservative organizations making up the
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)⏎The two Supreme Court cases, Jones v. City of Opelika 316 U.S. 584 (1942) and 319 U.S. 103 (1943
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ister (1994/2005). Eddington's Search for a Fundamental Theory: A Key to the Universe. Cambridge University Press.⏎Paul M. Clark (
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, President Abraham Lincoln and Confederate Vice President Alexander H. Stephens held a shipboard peace conference off the Virginia coast; the talks
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
- L20:551 strongly excites
- L10:1278 strongly excites
- L20:1377 strongly excites
- L10:1293 strongly suppresses
- L10:556 suppresses
- L17:1095 suppresses
- L19:1333 suppresses
- L9:789 suppresses
- L3:159 excites
- L24:456 excites
- L9:2482 excites
- L16:1300 suppresses
- L22:1171 excites
- L23:276 suppresses
- L21:472 excites
- L9:453 excites
- L8:514 excites
- L4:236 suppresses
- L9:1293 excites
- L19:749 suppresses
- L14:1614 excites
- L18:560 suppresses
- L9:1386 excites
- L23:1871 excites
Feeds later layers
- L27:1130 suppresses
- L27:2048 suppresses
- L27:784 suppresses
- L27:634 weakly suppresses
- L27:93 weakly suppresses
- L27:1955 weakly suppresses
- L27:1358 weakly suppresses
- L27:2458 weakly suppresses
- L27:1201 weakly suppresses
- L27:892 weakly suppresses
- L27:2922 weakly suppresses
- L27:1891 weakly excites
- L27:670 weakly suppresses
- L27:2833 weakly excites
- L27:2537 weakly suppresses
- L27:1758 weakly excites
- L27:2193 weakly excites
- L27:1566 weakly suppresses
- L27:1813 weakly suppresses
- L27:2058 weakly suppresses
- L27:2727 weakly suppresses
- L27:1305 weakly excites
- L27:1002 weakly excites
- L27:937 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
- 平整
- OPTIONAL
- olynomial
- ctors
- ppe
- _activ
- oppon
- alars
- 꽃
- нце
Suppresses
- 詹姆斯
- 纽约
- 伦敦
- 在美国
- 爱尔兰
- John
- John
- 美國
- Johnson
- 芝加哥