line breaks mid-sentence
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. 15 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 reacts to a hard line break that cuts a sentence in the middle, right before the rest of the phrase continues on the next line. When it was turned up, the model's writing drifted into unrelated topics like maths and the field of objects, so the effect is hard to read.
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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of Booch, OMT and OOSE by fusing them into a single,⏎common and widely usable modelling language. UML aims to be a standard modelling⏎language which can model concurrent and distributed systems.⏎UML is not an industry standard
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ital a piece of ground contiguous to Pardon Churchyard, called the Spital Croft, which the good Bishop Stratford also consecrated. The two burial-grounds, afterwards united, were known as New Church Hawe.⏎Stow,
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⏎the word itself, the OneLook Reverse Dictionary can help. The site indexes⏎hundreds of online dictionaries, encyclopedias, and other reference⏎sites for words that have definitions similar to the words you search⏎for. Developed
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a level of 300 pmol/L. Understanding the clinical⏎manifestations of vitamin B12 deficiency and how it is relevant to Australia’s refugee⏎population might assist to resolve some of the difficulties that refugees face in Australia.⏎Download
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this cult until⏎today it has supported violence, starting with beatings with boots and small⏎weapons, evolving today into a terrorist like cult armed with deadly military⏎weapons.Just like gangs in the U.⏎S. skinheads also fight among
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the results of the first stage. As of September 2008 the design teams⏎use 3D modeling software to generate CAD drawings from initial design⏎sketches. The designs are then prototyped using an in-house⏎
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 will not. I am not. I can't. I am not. I will not. I will not. I don. I can't. I can't. I I I I I I I I I I I I I
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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program does not try to expunge the odd social behaviors that often make life so difficult for them. Its unconventional aim is to teach students that it is O.K. to ''act autistic'' and also how to get by in a world where it
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we here at Housman Institute are reflecting on gratitude and what it means for the development of emotional intelligence in young children. As Robert Emmons, Ph.D. the world’s leading scientific expert on gratitude. a professor of psychology and founding editor
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or parasites. Toxins produced by bacteria<|endoftext|>Dit artikel staat op icthealth.nl. Link: https://ictandhealth.com/ucla-looks-into-rewiring-brain-in-order-to-help-with-depressions/news⏎U
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agency is סוכנות, most recognizably in the Hebrew name of The Jewish Agency – הַסּוֹכְנוּת הַיְּהוּד�
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
- L9:1515 excites line break splitting a phrase
- L4:212 excites
- L12:792 excites
- L14:518 suppresses
- L14:409 suppresses
- L6:3016 suppresses
- L8:252 excites 'of' after 'each' or 'one' or 'all'
- L5:2594 suppresses
- L12:1500 suppresses
- L8:1208 suppresses
- L14:2636 suppresses
- L13:988 weakly excites
- L7:2935 weakly suppresses
- L7:2164 weakly suppresses period inside country abbreviations
- L14:35 weakly excites
- L6:181 weakly excites periods in abbreviations and the 's in names
- L12:51 weakly suppresses
- L14:51 weakly excites colon that introduces a statement
- L13:272 weakly suppresses
- L9:2455 weakly excites
- L8:395 weakly suppresses
- L13:131 weakly suppresses 'and' joining parallel phrases
- L8:101 weakly excites unclear: commas and 'or' in lists
- L6:972 weakly excites "well" after "how"
Feeds later layers
- L17:390 strongly excites
- L16:715 strongly excites
- L20:526 excites
- L18:1321 excites
- L18:305 excites
- L21:68 suppresses
- L20:1197 excites 'this' pointing at the current document
- L21:323 excites
- L21:498 excites
- L19:1009 excites
- L19:207 suppresses
- L16:1578 excites
- L18:2629 excites
- L16:2042 excites
- L21:348 excites mid-sentence line breaks
- L20:1212 excites
- L19:1155 excites
- L20:318 excites
- L17:510 excites
- L19:135 suppresses
- L27:227 excites
- L18:1326 excites
- L21:553 excites
- L20:337 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
- series
- series
- 字样
- 角度来看
- management
- footing
- 항
- direction
- 식
- 条
Suppresses
- 恶
- бав
- Compose
- (surface
- Peel
- adle
- 奏
- нные
- Resolve
- Stam