end of document 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. 11 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
It lights up on the invisible marker the model uses to show that one document has ended and an unrelated one begins. Its negative hits are in odd spots inside lists and citations. Turning it up made the model repeat itself and drift into unrelated topics.
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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–6. Warsaw, 1877–82.⏎Pamiqtki Soplicy. Warsaw, 1961.<|endoftext|>Translate this page into:⏎Approach to family assessment and intervention⏎All India Institute
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9, 2002⏎Elysia from Gulf of Mexico⏎From: Anna L. Bass, October 8, 2002<|endoftext|>|Tourists visit slave cabins at Boone Hall plantation, near Charleston|⏎|Vis
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is sharp and cutting resistance is small.⏎- Excellent cutting surface roughness can be produced even when machining at low speed.⏎- Suitable for soft materials or workpieces<|endoftext|>Fernanda vertelt haar verhaal in een gesprek met CSL
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; cultivated and adventive worldwide, including in China.⏎(Authors: She Menglan (佘孟兰 Sheh Meng-lan); Mark F. Watson)<|endoftext|>By Cary Groner⏎3D printing has been waiting to disrupt the orthotics
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a religious or educational one.⏎D<|endoftext|>Administration of Justice 104:⏎Unit Objectives: At the completion of
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affected by a bad situation⏎Savings can act as a cushion against unemployment.⏎the soft rubber edge of the table used for playing billiards or snooker<|endoftext|>I have been trying to consolidate my
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 possibility of a situation where a person is not allowed to be in the same situation. The situation of a person being in the same situation is not allowed, and the possibility of a person being in the same situation is not allowed to be
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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J.M.; Mortimer, S.R.; Brereton, T.; Redhead, J.W.; Thomas, J.A.; Pywell, R.F.. 20
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Electoral College Cnn Blank Map Best Of Top Us Election pertaining to Blank Electoral College Map 2016 Printable, Source Image : clanrobot.com⏎
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• Teacher Resources • Frequently Asked Questions • Glossary • References • Links to Other Mussel Sites⏎
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JSTOR JSTOR is part of ITHAKA, a not-for-profit organization helping
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
- L9:870 excites
- L8:258 excites
- L10:328 suppresses
- L9:690 suppresses
- L10:1873 excites
- L6:24 excites
- L3:22 suppresses
- L10:895 excites
- L10:692 weakly excites
- L8:1055 weakly suppresses
- L10:1037 weakly suppresses
- L10:48 weakly suppresses
- L6:198 weakly suppresses
- L10:18 weakly suppresses
- L10:593 weakly suppresses
- L5:345 weakly excites
- L8:38 weakly suppresses
- L7:150 weakly excites
- L7:332 weakly excites
- L9:223 weakly excites
- L7:258 weakly excites
- L10:1345 weakly excites
- L7:165 weakly excites
- L2:288 weakly excites
Feeds later layers
- L13:1041 strongly suppresses
- L13:1300 suppresses
- L17:1197 suppresses
- L12:1190 suppresses
- L14:2258 suppresses
- L14:108 excites
- L13:1761 suppresses
- L17:298 excites
- L19:467 suppresses
- L13:440 suppresses
- L13:886 excites
- L12:659 suppresses
- L13:849 suppresses
- L13:2549 suppresses
- L16:3015 suppresses
- L12:744 excites
- L12:396 suppresses
- L16:1164 suppresses
- L12:684 suppresses
- L12:1368 excites
- L15:2763 suppresses
- L13:2097 suppresses
- L14:561 excites
- L13:381 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
- res
- ho
- reve
- 他已经
- stay
- flare
- 他在
- 他又
- 祗
- 他对
Suppresses
- oins
- ements
- >(),⏎
- DMI
- .jms
- >").
- asion
- >",⏎
- ())),⏎
- ⏎ ⏎