end of a document (end-of-text token)
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. 25 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 responds to the invisible marker the model uses to separate one document from the next. It is strongest right at that break, where one unrelated piece of text ends and another begins. Turning it up gave broken or off-topic text.
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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rounded to the nearest integer.<|endoftext|>Christine Duncan, MD⏎Sickle cell disease (SCD) affects as
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1,700.<|endoftext|>Risk assessment for construction⏎The Construction (Design and Management) Regulations (CDM
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, 2012<|endoftext|>Some weather conditions are simply not fun to ride in. As cyclists, windy days
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718<|endoftext|>Women who have kids later on in life may live longer, according to the findings
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:<|endoftext|>Copyright © University of Cambridge. All rights reserved.⏎'Aim High' printed from
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:<|endoftext|>The hamstring muscles – the biceps femoris, semitendinosus,
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: the nature of a relationship between a person and a nature, and how nature can be seen as a "mirror" that reflects on a person's nature and the nature of the nature in the environment around them. looking into nature and nature's
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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often so excited to post<|endoftext|>Chapter 16 Risk Management for Drugs and Biologics in the United States Chapter 16RISK MAnAgEMEnT FOR DRugS AnD bIOLOgICS In THE unITED
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morning rations were of bread,⏎A slice of sinking meat,⏎Which hunger made us soon devour,⏎And ever lasted sweet.⏎At night we had a little soup,⏎Some water bolled with peas,⏎And then we took our prison beds,⏎To
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wolves.⏎tAsAM ruditashabdena gavAM haMbhAraveNa cha |⏎vrajasyotthApanaM chakrurghoShavR^iddhAH samAgatAH
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Myeloma||A type of blood cancer that hits the plasma cells of bone marrow. Myeloma cancer cells make abnormal antibodies.|⏎|Leukemia||A type of blood cancer, starts in the bone marrow, and is often associated
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
- L21:384 strongly excites
- L21:230 strongly suppresses
- L24:534 strongly excites
- L20:646 strongly suppresses
- L19:1399 strongly suppresses
- L24:51 strongly excites
- L24:1970 strongly suppresses
- L20:448 strongly excites
- L23:186 strongly suppresses
- L22:2621 strongly suppresses
- L22:193 strongly suppresses
- L23:262 strongly suppresses
- L21:577 strongly suppresses
- L21:436 strongly suppresses
- L19:1174 strongly excites
- L22:296 excites
- L20:433 suppresses
- L21:895 excites
- L20:888 suppresses
- L17:699 suppresses
- L21:412 excites
- L21:369 excites
- L20:940 excites
- L18:1242 excites
Feeds later layers
- L27:22 strongly suppresses
- L26:224 strongly suppresses
- L27:65 strongly suppresses
- L27:159 strongly suppresses
- L26:35 strongly suppresses
- L27:133 excites
- L26:240 suppresses
- L27:38 excites
- L26:247 suppresses
- L27:248 suppresses
- L26:96 suppresses
- L26:17 suppresses
- L27:106 excites
- L26:221 suppresses
- L27:12 excites
- L27:137 excites
- L26:498 excites
- L27:458 suppresses
- L27:64 weakly suppresses
- L27:316 weakly excites
- L26:113 weakly excites
- L27:183 weakly excites
- L26:261 weakly excites
- L27:379 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
- 瞭解並
- っくり
- า
- ョ
- ведения
- チャー
- 保護政策
- 逵
- 的隱私權
- リフォ
Suppresses
- Your
- Ident
- Sub
- Conclusion
- Another
- Other
- This
- Third
- Student
- Yes