"of" after full text or version
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
Fires on the word "of" in phrases like "full text of", "version of" or "copy of", where the next words will name a document or edition. Turning it up made the model's writing wander off into unrelated topics, so the link to the steering is weak.
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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As a whole, these examples illustrate the three kinds of discourse at which rhetoric is aimed.⏎Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the
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retrotransposons.⏎Retrotransposons are small bits of genetic information that can move around and multiply themselves in the genome via RNA (a molecule similar to DNA). Imagine the DNA in your cells as a long sentence and retrotranspos
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diagnosis of children presenting with polio-like symptoms.⏎- AAP News: 'AAP clinical report outlines how US pediatricians can help stop polio'⏎- Full text of Clinical Report⏎East African pediatricians speak for one for vaccines⏎
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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 text of
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Cooper.⏎Buy the hardcover edition of⏎I Heard the Willow Weep for $6.00. (Retail
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eors from the on-board camera will be available online at the Space Sciences Website at: http://www.perseidslive.com⏎For an electronic version of this advisory or more information, visit Marshall’s News Center Website at:http://www
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: A user and a team lead to a new position in a company. The company has a policy of not allowing employees and contractors and internal auditors and contractors and managers and managers and managers and managers and managers and managers and managers and managers and
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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Professor Atkinson said the latest wave of automation in the mining industry came in the form of
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Gerald R. Ford.⏎Transcript from the February 10, 199
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University Giessen.⏎Gabriel and Lucifer⏎This English translation of a poem by the poet
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portal/species/overview?p_p_spp=257336⏎This
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
- L3:437 suppresses
- L1:1371 weakly suppresses
- L6:104 weakly excites
- L3:875 weakly suppresses
- L5:261 weakly suppresses
- L1:148 weakly suppresses
- L4:305 weakly excites
- L2:1945 weakly suppresses
- L5:1927 weakly suppresses
- L3:510 weakly suppresses
- L4:220 weakly excites
- L3:1717 weakly suppresses
- L1:1919 weakly suppresses
- L1:388 weakly suppresses
- L3:684 weakly excites
- L1:138 weakly excites
- L4:237 weakly excites
- L3:293 weakly excites
- L3:1225 weakly excites
- L0:1494 weakly suppresses
- L1:386 weakly suppresses
- L4:535 weakly suppresses
- L3:2458 weakly excites
- L7:1443 weakly suppresses
Feeds later layers
- L10:55 suppresses
- L13:473 weakly excites
- L9:491 weakly suppresses
- L16:3034 weakly suppresses
- L17:666 weakly suppresses
- L27:1611 weakly suppresses
- L10:2 weakly suppresses
- L18:2233 weakly suppresses
- L14:738 weakly suppresses
- L9:630 weakly excites
- L9:1131 weakly suppresses
- L17:2225 weakly excites unclear: verbs after subject, line breaks
- L12:5 weakly suppresses
- L14:254 weakly suppresses
- L10:1398 weakly suppresses
- L9:1132 weakly suppresses
- L12:661 weakly excites
- L16:495 weakly suppresses
- L10:2376 weakly suppresses
- L16:1246 weakly suppresses
- L12:887 weakly excites
- L10:1797 weakly suppresses
- L16:324 weakly suppresses
- L24:81 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
- appearance
- روب
- diss
- onward
- disappeared
- current
- 圭
- 없
- desire
- .INSTANCE
Suppresses
- isted
- ising
- isable
- atement
- 注册资本
- ätz
- ocker
- illé
- raud
- gnore