table pipe characters
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. 13 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 fires on the vertical bar symbol used to build tables in web pages and wiki text, which marks the start of a new cell. It is negative on quote markers and forum quoting symbols. Turning it up gave repetitive text unrelated to tables.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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odhājīva to the Buddha. S.iv.308.<|endoftext|>The New International Encyclopædia/Kinkajou⏎|←Kinic acid||The New International Encyclopædia⏎|Edition of
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, we could:⏎|Vitamin B12 Need||94%||Confirm|⏎|Lup
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No discussions found⏎Start your discussion⏎Share your thoughts or question with experts in your field⏎Start a discussion⏎Found 2 matching solutions for this experiment⏎|Samples can be flash frozen (-80C) before use, this will likely
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Back to 3⏎|5||Leaves mostly alternate or scattered; inflorescence a raceme
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you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.⏎|Size: ||359 KB|⏎|Date published: ||
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which it appears.”⏎For more information, The report card can be found online: www.nationsreportcard.gov.MORE IN Vermont News⏎- Most Popular⏎- Most Emailed⏎- MEDIA GALLERY<|endoftext|>Chim's striking image depicts
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:What is the type of climate change is most likely to be caused byhuman activities is the change that is caused byhuman activities. I think the most likely to be caused byhuman activities is thechange that is caused byhuman activities is the
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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une Function, 2017, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707683/#:~:text=It%20is%20a%20potent%
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EST 2010⏎On Wednesday 24 November 2010 22:12:37, Russ Abbott wrote:⏎> Cool. I wasn't aware of that notation. It doesn't quite get to
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did so far:⏎Originally Posted by MrFujin⏎Enter a 5-charcter string: hgout
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2 km. The infrasound data is collected at 20 hz, while the meteorologic data is recorded at 1 hz.⏎Figure 4. Array layout. Blue dots indicate the 7 elements, while the purple
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
- L8:18 weakly suppresses
- L12:1145 weakly excites
- L11:249 weakly excites
- L7:3038 weakly excites
- L11:769 weakly suppresses
- L2:2714 weakly excites
- L11:687 weakly excites
- L10:157 weakly suppresses end of document and web boilerplate
- L4:2772 weakly excites
- L3:2073 weakly excites
- L1:558 weakly suppresses
- L5:1019 weakly excites
- L7:2098 weakly suppresses
- L0:1420 weakly excites
- L7:2831 weakly suppresses
- L8:1329 weakly suppresses
- L4:1146 weakly excites
- L0:2406 weakly excites
- L9:215 weakly suppresses
- L3:1161 weakly excites first digit after 'more than'
- L12:118 weakly excites
- L4:1646 weakly suppresses 'fixed' as a finance or cost term
- L2:2156 weakly excites
- L4:1529 weakly excites
Feeds later layers
- L14:140 suppresses
- L16:723 excites
- L17:132 suppresses
- L18:76 suppresses blank spot before a number
- L25:30 suppresses
- L24:39 suppresses
- L27:33 suppresses
- L22:14 suppresses
- L20:59 suppresses
- L14:309 excites
- L17:15 weakly excites
- L26:21 weakly excites
- L19:509 weakly suppresses
- L24:77 weakly suppresses opening parenthesis after a name
- L16:396 weakly suppresses
- L27:117 weakly suppresses
- L20:1013 weakly excites
- L23:60 weakly suppresses
- L23:80 weakly suppresses blank slot before a year or number
- L27:97 weakly suppresses
- L16:1421 weakly suppresses
- L18:211 weakly excites
- L14:102 weakly excites
- L26:32 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
- fi
- bean
- Bean
- front
- scr
- nations
- congregation
- O
- video
- rive
Suppresses
- //**⏎
- 成功
- conde
- rias
- >*/⏎
- >`⏎
- awah
- plevel
- ()}}⏎
- /")⏎