word fragments like ev and v
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 fairly consistent: several of them 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 a short fragment of a longer word that is split in two, such as the "ev" in "evoked" or the "v" in "nightvision". It is strongly negative on a capital V inside a name, such as "Vespasianus" or "Vjosa". Turning it down or up made the model repeat phrases like "relative relative" or "the condition was", so the steering shows no clear meaning.
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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radical idea of powerful, independent women living in exotic lands evoked ambivalent emotions in the Greeks: awe, fear, respect, and desire
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Hau.⏎While slow-speed light is now confined to the realm of laboratory research, Hau believes future practical applications include improved communications technology, television displays and night-vision devices.⏎Tags: Lene Vestergaard Hau, physicist,
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, is the 19th-century sheet music for Handel's Acis and Galatea. The Greek mythological origin of the story is evoked on the front cover, which features a couple in classical dress in a Mediterranean
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Dussehra-Vijaya Dashami-Dasara Festival Story, Why Do We Celebrate D
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on things that have meaning to us now, or that will have some value for us in the future.⏎- The Positive Principle – which coins that appreciative inquiry evokes positive emotions like hope, inquisitiveness, and motivation, all of
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channels in muscle cells that control the flow of calcium ions, creating muscle contractions. Normally, electrical stimulation (“excitation”) of isolated muscle fibers under experimental conditions evokes a muscle contraction, a phenomenon known as “excitation-contraction coupling
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: loveability relative to relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative relative
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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20px Jews of Judea⏎|Titus Flavius Vespasianus||Simon Bar Giora|| John of Gischala
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idea what they are destroying. There is nothing in Europe remotely like this river system.”⏎From the mountains of Greece where it is known as the Aoös, the Vjosa flows for 270km to the Adriatic Sea, reaching
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Saint-Galmier (Loire).⏎Seven years later, he found a partnership with Bessac and the painter Joséphus Veyrat. Then, he set up his own business in Grigny,
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is free to browse the archives for truly amazing photos of celestial artwork. I’ve picked 10 of my favorite to showcase here.⏎Captured by Stephane Vetter, this image “was taken two months ago over Jökulsárl
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
- L22:300 strongly suppresses
- L18:423 suppresses
- L20:336 suppresses
- L1:18 suppresses
- L7:674 excites
- L0:2419 excites
- L23:2815 suppresses
- L17:134 suppresses
- L18:198 suppresses
- L5:1712 suppresses
- L21:252 excites
- L16:95 suppresses
- L17:765 excites
- L5:1294 excites
- L6:875 excites
- L18:687 excites
- L2:1518 weakly suppresses
- L2:1585 weakly suppresses
- L18:1023 weakly suppresses the digit 3 inside numbers
- L10:237 weakly suppresses
- L19:593 weakly excites
- L25:2927 weakly suppresses
- L19:974 weakly suppresses
- L16:143 weakly excites
Feeds later layers
- L27:1528 weakly excites
- L27:1713 weakly excites
- L27:1920 weakly suppresses
- L27:1385 weakly suppresses
- L27:2127 weakly excites
- L27:2343 weakly excites capital N starting a name or word
- L27:1860 weakly suppresses capital V starting a word
- L27:995 weakly suppresses
- L27:2929 weakly excites the letter c splitting a word
- L27:1566 weakly excites
- L27:1431 weakly excites
- L27:822 weakly excites
- L27:3002 weakly suppresses
- L27:1015 weakly suppresses
- L27:2442 weakly suppresses
- L27:552 weakly suppresses
- L27:808 weakly suppresses
- L27:751 weakly suppresses
- L27:343 weakly suppresses
- L27:2430 weakly suppresses
- L27:2276 weakly suppresses
- L27:1725 weakly excites
- L27:2356 weakly excites
- L27:2445 weakly excites capital B starting a name or citation
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
- olars
- лад
- ive
- ict
- ivo
- oxid
- ictory
- intage
- ic
- olar
Suppresses
- alte
- lying
- ellas
- naire
- uron
- attributeName
- essential
- ('\\
- laws
- antaged