the 'conc' word fragment
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. 24 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 start of words like 'conciliators', 'concise' and 'concave', especially the 'conc' piece. The pushed-up and pushed-down outputs did not show a clear link to this pattern.
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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are vital right now. Join us!⏎- Animal lovers: Big supermarket brands are directly contributing to this species’ extinction by destroying forests. You can join the #Boycott4Wildlife by sharing information from this website and boycotting brands
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have prompted many people to settle their legal disputes outside the courtroom through a process known as alternative dispute resolution (ADR). Mediators, also known as arbitrators and conciliators, guide the ADR process and help resolve conflicts between disputing parties
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“Right now, cell and medical imaging are at a point comparable to the space<|endoftext|>SAFETY & ESCAPE PLAN⏎BEFORE A VIOLENT INCIDENT OCCURS⏎• Teach your children to call 911.⏎•
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the Catholic Church⏎The Council of Trent (Latin : Concilium Tridentinum), held between 1545 and 1
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the water authority.⏎The discovery of a single fossil creature in a geological stratum of a wrong period, the detection of a single anatomical or physiological fact irreconcilable with origin by descent with modification, would have been destructive of the theory
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in order to earn a complete score, your discussion entries will need to meet the following five main criteria. They must be: written in full sentences, clearly and concisely, answer the questions and/or follow the instructions offered in the prompts,
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: just go just the way way way just the way way just the way way just the way way just the way way just the way way just the way way just the way way way go go go go go go go go go go go go
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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-cross the land and on Big Moor several stone posts or stoops were erected to guide travellers and traders across the difficult terrain with its bogs and dips, rivulets and hardy moorland vegetation. Mick J
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a scoring system for the musculoskeletal stress marker (MSM) located at the attachment site of the nuchal ligament located on the external occipital protuberance. The principle behind the method is that differences in osteon rem
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were known, such as Hernan Cortes or Diaz del Castillo chronicles. So this study shows disagreements and contradictions of winners.⏎The historian thinks Jose Vasconcelos was wrong when he said that
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Who has power to do everything in this world?⏎Close MATLAB with keyboard⏎Find the treasures in MATLAB Central and discover how the community can help you!⏎Choose a web site to get translated content where available and see local events and offers.
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
- L20:748 excites
- L22:795 excites
- L22:1317 excites unclear: sentence and clause breaks in essays
- L17:581 suppresses
- L16:704 excites
- L16:1461 suppresses
- L15:2567 suppresses
- L20:304 excites
- L8:459 suppresses
- L18:1141 weakly excites unclear: mid-sentence words before a noun
- L11:309 weakly suppresses
- L18:232 weakly suppresses
- L3:2811 weakly suppresses
- L8:370 weakly excites
- L19:2687 weakly suppresses
- L17:1963 weakly excites
- L8:2754 weakly excites
- L21:1001 weakly excites
- L3:696 weakly excites
- L23:2537 weakly excites
- L16:2959 weakly excites
- L9:51 weakly excites
- L19:1085 weakly excites
- L23:99 weakly suppresses
Feeds later layers
- L27:1777 weakly excites
- L26:2928 weakly suppresses
- L27:162 weakly suppresses
- L26:1456 weakly excites
- L26:1990 weakly suppresses
- L25:1311 weakly suppresses
- L25:462 weakly suppresses
- L25:2833 weakly excites
- L26:2494 weakly suppresses
- L26:2557 weakly suppresses
- L27:1050 weakly suppresses
- L27:887 weakly suppresses
- L27:1096 weakly excites
- L25:2904 weakly suppresses
- L26:1555 weakly excites
- L26:579 weakly excites
- L26:1006 weakly suppresses
- L25:2462 weakly suppresses
- L25:316 weakly suppresses
- L25:2316 weakly excites
- L27:720 weakly excites
- L27:465 weakly suppresses
- L26:1259 weakly excites
- L27:2010 weakly excites
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
- ulate
- commend
- osition
- urrence
- Th
- _initializer
- دد
- repid
- antine
- pen
Suppresses
- 越多
- gotten
- go
- 之战
- goes
- iß
- 之作
- →Get
- getList
- getVersion