line breaks in 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. 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 the invisible line break that falls in the middle of a sentence, as happens when text is copied from a page with fixed-width lines. Turning it down made the model produce strings of line breaks and stars.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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May 11, 1992. Construction impacts included construction of paved trails⏎and retaining walls near the boat dock, moving buildings, the installation⏎of picnic facilities (toilets, tables, drinking fountains), rehabilitation⏎
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⏎diff output, not just with⏎patch, because with odd enough file names one can cause⏎diff to generate a patch that is syntactically correct but⏎patches the wrong files. The<|endoftext|>Dante Gabriel Rossetti⏎George Henry
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can⏎start processing a new request before it has finished working on the previous⏎one. On Unix systems, Apache uses a multiprocess model in which it launches⏎a flock of servers: a single parent server is responsible for supervision and⏎one
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were foreign-born⏎or born here of immigrant parents. Even though auto tags identify⏎Oklahoma as Native America, the fact is that the two together totaled⏎130,430 nearly double the new states 7
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anatomy, behavior, life⏎cycles, and habitats of bugs in their own backyards and school yards.⏎Reference pages include a glossary packed with information, a⏎lists of useful resources, and
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the neonatal⏎diet. Continuous vomiting leads to coma. Carbohydrate abnormalities are⏎diagnosed by finding reduced enzyme activity in the liver. Treatment consists⏎of eliminating fructose from the diet and correcting hypoglycemia.⏎sy
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: - - - - - - - - - - - - - - - - - - - - - - - -
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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a 2,000 year-old mystery: Who is the Cartographer?More⏎We've sent an email with your order details. Order ID #:⏎
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are available at - https://github.com/PacktPublishing/Create-photorealistic-house-from-scratch-to-end-in-AutoCAD⏎- Publication date:⏎- September 2019⏎- 2 hours 45 minutes
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tī Latviju!⏎God Bless Latvia!⏎and largest city⏎|Ethnic groups (2011)||62.1% Latvians,⏎2% others and unspecified⏎|-||Prime Minister||Laimdota Stra
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its story.⏎We've sent an email with your order details. Order ID #:⏎To access this title, visit your library in the app or on the desktop website
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
- L16:313 excites
- L14:56 suppresses document ends and list line breaks
- L17:829 suppresses
- L15:81 suppresses line breaks inside running text
- L16:359 suppresses
- L17:205 suppresses
- L15:385 excites
- L17:2017 suppresses
- L15:2341 excites
- L10:84 suppresses
- L8:88 excites line breaks inside wrapped sentences
- L1:1279 suppresses
- L16:170 weakly suppresses
- L13:10 weakly excites
- L9:605 weakly excites
- L6:67 weakly excites
- L17:1273 weakly suppresses
- L7:239 weakly excites
- L16:2723 weakly excites
- L17:1455 weakly suppresses
- L16:1949 weakly suppresses
- L7:389 weakly excites
- L16:822 weakly excites
- L5:238 weakly excites
Feeds later layers
- L19:1130 suppresses
- L20:604 suppresses
- L20:467 suppresses
- L22:820 suppresses
- L21:194 excites
- L20:628 weakly excites
- L22:597 weakly suppresses end of document token
- L19:550 weakly suppresses
- L19:2079 weakly suppresses
- L19:1044 weakly suppresses
- L21:349 weakly suppresses
- L20:1162 weakly suppresses
- L19:909 weakly suppresses
- L20:672 weakly excites
- L20:44 weakly excites
- L19:1940 weakly suppresses
- L19:1112 weakly suppresses
- L21:1334 weakly suppresses
- L23:374 weakly suppresses
- L19:2272 weakly suppresses
- L25:1817 weakly excites
- L19:624 weakly suppresses
- L21:147 weakly suppresses
- L20:2452 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
- ted
- тся
- VPN
- stitial
- senal
- ipsis
- etsy
- ymph
- xEF
- efd
Suppresses
- 傾
- """⏎⏎
- """⏎⏎
- rsp
- """⏎⏎⏎
- 讣
- 每日经济
- Horizon
- 汚
- Tiến