unclear: word fragments and 'or'/'and' in lists
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. 25 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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
The pattern is hard to pin down. It tends to fire on pieces of split words, such as the middle of a name, or on words like 'and' and 'or' inside lists. Turning it up made the model drift toward repeated plain phrases like 'the weather outside was fine', with no clear theme.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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Stars⏎An accessible introduction to neutron stars that includes details on their life cycles as well as detailed information on neutron star variants such as x-ray and gamma ray bursters.⏎Introduction to Pulsar Astronomy⏎A tutorial on radio
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Mark⏎A. Mandel, Charles Häberl, Will Bennett, Johannes Reese, Cristina Matute⏎The following is
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best to utilize other forages during this period of growth, such as annual warm-season grasses or legumes where possible. You might also consider feeding hay or grain.⏎De-stock pastures. Livestock pressure on pastures can be
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gets its name from its size — it is the largest of all North American rails, a group of marsh-dwelling birds that includes moorhens and gallinules.⏎It’s a year-round resident of Florida and found throughout the state
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fail, find on the wall next to the art, a statement from the artist about their intent for the piece.⏎When Marcel Duchamp submitted an upside-down porcelain urinal signed “R.Mutt”<|endoftext|>The Galileo Museum in Florence is an
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Sons first. As far as I can tell, they both sprang from the same War to End all Wars, against the Greek King Antiochus Epiphanes who decided to wipe the Jewish nation from the face of the earth in
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: The experience of the past can often be remembered as being of the past, but sometimes as being of the present. What's up with that? How can the experience of the past be remembered as being of the present? **"Content"
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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from Science Advances, it was believed there were two species of of wolves in the United States: gray wolves (Canis lupus) and red wolves (Canis rufus). Gray wolves were brought in from Canada to repopulate Yellowstone
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igure of splicing mechanisms)⏎Splicing of nuclear mRNA is catalyzed by specialized RNA-protein complexes called small nuclear ribonucleoprotein⏎particles (snRNPs). The RNAs found in snRNPs are identified as U1
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digital records for use in K-12 lesson plans, visit the IHRC’s portal for digital resources via the University of Minnesota’s UMedia Archive:http://ihrc.umn.edu/research/digitalsources.php⏎Click here for additional
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points in Scrabble, and 8 points in Words with Friends⏎There are 5 letters in rifts: F I R S T⏎2 Anagrams of Rifts⏎Words that can
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
- L20:661 suppresses
- L23:2462 suppresses
- L21:577 excites
- L22:406 suppresses
- L24:2469 excites
- L21:1180 excites
- L22:223 suppresses
- L21:564 excites
- L19:1753 suppresses
- L23:1655 suppresses
- L24:2266 excites
- L20:1002 excites
- L23:182 suppresses
- L23:216 excites
- L24:26 excites
- L21:370 suppresses
- L22:337 suppresses
- L22:98 suppresses
- L21:1347 suppresses
- L24:809 suppresses
- L24:2813 weakly excites
- L22:374 weakly excites
- L22:1534 weakly suppresses
- L22:380 weakly suppresses
Feeds later layers
- L27:835 strongly suppresses
- L27:285 suppresses
- L27:1696 suppresses
- L26:1822 weakly suppresses
- L26:1016 weakly suppresses
- L27:1372 weakly suppresses
- L27:1378 weakly excites
- L27:765 weakly excites
- L26:1014 weakly excites
- L26:112 weakly excites
- L27:1473 weakly suppresses
- L27:2464 weakly excites
- L26:2510 weakly excites
- L27:2520 weakly suppresses
- L26:2298 weakly suppresses
- L26:1903 weakly excites
- L26:1489 weakly excites
- L26:959 weakly excites
- L26:1081 weakly excites
- L26:1158 weakly suppresses
- L26:2243 weakly excites
- L27:2759 weakly excites
- L26:3060 weakly excites
- L26:2143 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
- LR
- →Request
- Request
- (Request
- Restore
- ished
- ico
- &R
- Record
- гла
Suppresses
- r
- r
- (r
- $r
- <r
- =r
- )r
- [r
- *r
- r