'://' in web addresses
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. 14 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 '://' in web addresses, like the one after 'http' or 'https'. Turning it up did not make the writing about links or web pages, so its effect on output is unclear.
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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|Contact details of provider:|| Web page: http://www.tandfonline.com/VECE20|⏎|Order Information:||Web: http://www.tandfonline.com/pricing/journal/VECE20|⏎
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groundwater for hydro electric power generation. Journal of Hydrology (NZ), 34(1), 1-14.⏎Permanent Research Commons link: http://hdl.handle.net/10289/4701⏎Control
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:<|endoftext|>Copyright © University of Cambridge. All rights reserved.⏎'Aim High' printed from http://nrich.maths.org/⏎Why do this problem?⏎offers the opportunity for a
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>.⏎- APA: Learning Math; Measurement: Indirect Measurement And Trigonometry. Boston, MA: WGBH Media Library & Archives. Retrieved from http://openvault.wgbh.org/catalog/V_4E4EE3EAD
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, vol.25, n.1, pp. 44-69. ISSN 1980-4369. http://dx.doi.org/10.1590/S010
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Kansas Sand Hills,"⏎Proceedings of the Iowa Academy of Science, 31(1), 131-132.⏎Available at: https://scholarworks.uni.edu/pias/vol31/iss1/2
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: I have to be able to see this. I...? I think I am going to try to do it? ... I feel the way I do now, and I am trying? I am going to try. I think I have
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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1100.00010000.1yyyyyyy.yyyyyyyy => 172.16.128.
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of white-nosed coati (9.05%), being this difference significant in summer 2012 (P < 0.00001), summer (P =
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, though, and there’s a lengthy list of variations still kicking around in the wild, such as ay-ight, aiite, and even the occasional aaaaaaaight. As the dictionary indicates, aight’s colloquial English,
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file should contain one line with one integer: the largest diameter of any shape in the painting.⏎4 9 XXXX.XXXX ..XX.X... XX.XXX..X ....X..XX⏎There are three shapes in this example, labelled
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
- L10:1597 weakly suppresses
- L7:2428 weakly suppresses
- L12:401 weakly excites
- L0:1224 weakly suppresses
- L4:55 weakly suppresses
- L8:1077 weakly suppresses
- L6:2333 weakly excites
- L4:2639 weakly suppresses
- L10:3065 weakly excites
- L6:1188 weakly excites
- L10:1165 weakly excites
- L8:4 weakly excites
- L2:4 weakly suppresses
- L9:33 weakly suppresses
- L9:87 weakly suppresses
- L7:238 weakly excites
- L8:1308 weakly suppresses
- L10:2219 weakly suppresses
- L11:2 weakly suppresses unclear: blank before a year or number
- L11:2172 weakly suppresses
- L4:382 weakly suppresses
- L5:309 weakly suppresses
- L7:2581 weakly suppresses
- L3:1765 weakly excites
Feeds later layers
- L15:760 weakly excites
- L15:1404 weakly excites
- L15:2444 weakly excites
- L22:882 weakly excites
- L17:2896 weakly suppresses
- L19:757 weakly suppresses
- L24:908 weakly excites
- L17:1947 weakly suppresses
- L23:1978 weakly excites
- L24:327 weakly excites
- L24:181 weakly suppresses
- L17:2748 weakly excites
- L22:2244 weakly excites
- L21:771 weakly excites
- L26:116 weakly suppresses
- L20:858 weakly excites
- L20:504 weakly excites
- L21:1444 weakly excites
- L27:101 weakly suppresses
- L20:1816 weakly excites
- L17:1024 weakly suppresses
- L21:497 weakly excites
- L21:2598 weakly excites
- L27:923 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
- indre
- ходим
- ifax
- ches
- enf
- печ
- otify
- icie
- ienie
- opic
Suppresses
- by
- ManyToOne
- تحمل
- .Offset
- 源头
- _BOX
- opposition
- bara
- types
- pipelines