line breaks in lists and wrapped text
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 line-break characters placed in the middle of a sentence or list item, often where the text was wrapped or split oddly. Turning it up made the model write with a line break after almost every word, which looks broken.
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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and⏎African American History -⏎This website is for African American Artists and an on-line portal⏎for both African America Artists and African American History. The website⏎contains 1000's of links and 100's of
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get the⏎"gist" of the message.⏎The Internet Acronym Server⏎This site can be used to look up the meaning of an acronym (abbreviations⏎constructed from the first letters of several words, such as ADA for⏎American Dental
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York,⏎Delaware, North Carolina, Tennessee, Arkansas, South Dakota, Nebraska,⏎Kansas, Texas, New Mexico, Montana, Alaska, and California; Canada=⏎Manitoba, Alberta, British Columbia; Mexico; Brazil; Poland; Denmark
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Cattle truck and the Sheep⏎truck change places and the Engine is back on the main line?⏎In how many ways can you fit two of these yellow triangles⏎together? Can you predict the number of ways two blue triangles can⏎be
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the picture?⏎10 space travellers are waiting to board their spaceships. There⏎are two rows of seats in the waiting room. Using the rules, where⏎are they all sitting? Can you find all the possible ways?⏎What is the
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⏎diff output format⏎to represent changes in directory structure, and extending⏎to understand these extensions.⏎Some files are neither directories nor regular files: they are unusual⏎files like symbolic links, device special files, named pipes, and⏎
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 need to use this website to find the best price. So, if the equation is - (1/2)(4 - 2/2) - 1/3, what is the answer? How do I solve this problem
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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Dhoti Ceremony. This is a momentous day in the Telugu⏎family's calendar, which they call "Panchalu," and they celebrate it⏎in a magnificent manner with their close friends and relatives.⏎Q2. What is
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but main⏎branches absent; dichotomous branching throughout. Axils rounded, with sides⏎symmetrically developed, with side branches at times growing almost⏎horizontally for 1 - 5 mm before bending up or curling downward
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two or more servers do not interfere⏎with each other. Usually NFS file locking is handled by the⏎lockd daemon, but at the moment there is no⏎platform that performs locking 100% reliably in every situation.⏎With this
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also describes key elements of the Java API⏎library, such as I/O, the Collections Framework, the concurrency⏎utilities, the stream library, networking, event⏎handling, AWT, and more. Three chapters provide a solid introduction⏎to
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
- L6:1038 excites
- L4:105 excites
- L6:574 suppresses
- L7:239 excites
- L4:337 excites
- L6:2586 excites
- L2:772 suppresses
- L4:114 excites
- L6:1374 suppresses
- L6:2863 excites
- L0:1403 weakly suppresses
- L6:463 weakly excites
- L7:2925 weakly suppresses
- L3:428 weakly excites
- L7:133 weakly suppresses line break inside a sentence
- L6:1306 weakly excites
- L4:1044 weakly excites
- L5:2459 weakly suppresses
- L2:1847 weakly excites
- L2:228 weakly suppresses
- L2:1884 weakly suppresses
- L0:345 weakly excites
- L5:1978 weakly excites
- L3:1622 weakly suppresses
Feeds later layers
- L9:808 strongly suppresses
- L10:230 excites
- L16:795 suppresses
- L17:1242 suppresses
- L16:2348 suppresses line break after a section heading
- L12:1012 suppresses
- L15:643 excites
- L14:2751 suppresses
- L10:102 suppresses
- L17:910 weakly suppresses
- L18:3067 weakly excites
- L15:985 weakly suppresses line breaks inside wrapped text
- L16:3055 weakly suppresses
- L23:2850 weakly excites
- L17:1564 weakly suppresses
- L11:2923 weakly suppresses
- L24:2113 weakly excites
- L16:1198 weakly excites word pieces inside all-caps headlines
- L10:2199 weakly excites
- L16:995 weakly suppresses
- L13:1951 weakly excites
- L18:2558 weakly suppresses
- L19:1777 weakly suppresses
- L10:2315 weakly suppresses line break inside wrapped text
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
- 禽
- \Module
- дж
- {\⏎
- \xf
- tracted
- �
- wsp
- j
- Tours
Suppresses
- Bowman
- bö
- ость
- localization
- 积水
- ivas
- intersection
- acimiento
- artz
- entral