opening parenthesis after a noun phrase
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. 18 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 an opening bracket that starts an aside, like a clarifying note or a number in brackets after a noun. Turning it up produced text that drifted into odd, repetitive wording rather than anything tied to brackets.
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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is feasible to ask whether crocodilian species may also harbor the influenza A virus. Here we analyzed 37 captive crocodilians from two locations in Florida (plus 5 wild bird fecal samples from their habitat) to detect the presence
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studies investigated when children became able to detect that the words of a story could support multiple interpretations. Each subject saw two eight-sentence stories of each of four types (no-cause, unbiased, biased-proximal, and biased-distal),
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(24 in English; 24 in French in the French part) include an audio description for the blind and visually impaired; and 49 films (27 in English; 22
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biology), and figuring out how to save everything (conservation biology). Further, when elements cannot be saved, field biologists help bring back species and their ecosystems (restoration biology).⏎Chicago Scholarship Online requires a subscription or purchase to access the full
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the different types of relationships on the board.⏎Activity One: My Own Square Meter (30 minutes)⏎1. Have students go outside and pick a small area (about a square meter each) to explore. It is preferable that this
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find targets for better treatments. It’s latest in a steady stream of good news from autism researchers recently, who have reported on innovative ways to diagnose the disorder earlier (as we reported here, here and here) and on new genes that contribute to
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: 1)111111111111111111111111111111111111111111111
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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individual battery voltages are added together. When charging your battery, it is necessary to account for the total voltage of the string.⏎For example, if you have (2) 100 amp hour, 6 volt batteries connected in series
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me about 2nd conditionals, but I'm a safe bet for what reads well in (American) English.⏎Me too. I think the 'brass' refers to
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there are also (possible) cases of justified aversions/downplays: ie heart surgeon, firefighter,
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perform ... such as shuffling a deck of cards. Remember this next time you play!⏎[I apologise that (during the video), when writing the huge numeral above, I inadvertently wrote part of
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
- L3:57 excites
- L17:304 excites opening parenthesis after a claim
- L6:144 excites
- L16:1967 excites
- L16:1513 excites opening parenthesis before a numbered list
- L11:2191 excites unclear: brackets and parentheses in text
- L9:339 excites
- L15:82 suppresses
- L0:1252 suppresses
- L10:66 suppresses opening parenthesis after a citation or term
- L10:445 excites
- L15:96 weakly suppresses
- L0:2119 weakly suppresses
- L16:1168 weakly suppresses 'to' after verbs of change
- L10:2562 weakly excites
- L15:129 weakly suppresses
- L15:78 weakly excites
- L15:114 weakly excites
- L8:354 weakly excites opening parenthesis before a citation year
- L4:64 weakly excites
- L6:2143 weakly excites
- L3:544 weakly excites opening parenthesis in lists and asides
- L14:392 weakly excites
- L15:1794 weakly excites
Feeds later layers
- L19:2251 suppresses opening parenthesis after a name
- L21:1844 suppresses
- L20:1451 suppresses
- L22:1637 suppresses
- L20:2173 suppresses
- L19:453 suppresses
- L20:1841 suppresses opening parenthesis before a citation
- L23:224 excites
- L21:1239 suppresses
- L20:722 weakly suppresses
- L27:744 weakly excites
- L22:3047 weakly suppresses
- L20:147 weakly suppresses
- L19:2046 weakly suppresses
- L24:932 weakly excites
- L26:2095 weakly suppresses
- L22:1116 weakly excites
- L24:1024 weakly excites
- L20:1737 weakly suppresses
- L23:864 weakly excites
- L24:581 weakly excites
- L25:1317 weakly suppresses
- L20:2732 weakly suppresses
- L20:915 weakly suppresses
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
- ernal
- amel
- aneous
- unan
- 벽
- exion
- 핑
- aming
- รง
- idar
Suppresses
- ╯
- yyval
- 으
- .*)
- 丰富
- чив
- Theft
- Pick
- nuts
- stolen