web addresses and links, URL parts
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. 1 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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 parts of web addresses and link text, such as the spot right after a site name or the word before a link. When it was pushed up, the model's writing wandered into news-style and everyday topics, but the link pattern itself was not clearly carried over.
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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This exodus is known as the Great Migration, and was the first phase of an African American migration that would continue until 1970.⏎Additional resources for research⏎- The Great Migration, In
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control for situations that the machine can’t quite do things,” he said.⏎For the rest of this article, click here: http://www.abc.net.au/news/rural/2017-05-23/the-future
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in business.⏎This week’s article by Jeremy Rosen on Rav Lichtenstein is available from http://jeremyrosen.blogspot.co.uk/2015/08/rav-lichtenstein-zl.html⏎Your comment will be posted
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CA.⏎Other Resources on Rumex acetosella⏎- USDA PLANTS database - Federal database with information
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lights, laminar flow cabinets, and other biological safety cabinet components protect.⏎Read More @ https://cmibloginsight.blogspot.com/2023/05/biological-safety-cabinets-ensuring.html<|endoftext|>World
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News Erutpion states it as being restless. http://volcansvanuatueruptionsgb.blogspot.fr/2014/03/08032014-nevado-de-colima-cleveland
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 am thinking about lately: I am thinking about lately: I am thinking about lately: I am thinking about lately: I am thinking about lately: I am thinking about lately: I am thinking about lately: I am thinking about lately:
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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0 us, https://commons.wikimedia.org/w/index.php?curid=12708190<|endoftext|>Ayurvedic medicine
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structure = function.⏎(Image from: https://commons.wikimedia.org/w/index.php?curid=1267900)⏎Want to suggest an edit
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already available on the CRIN website but might not be easily retrieveable.⏎See the Wiki here: http://wiki.crin.org/mediawiki/index.php?title=Main_Page⏎We are launching the Wiki with an initial batch of
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⏎3rd sing masc – lu⏎3rd mass masc – lo⏎see also: http://pidweb.ii.uam.es/coser/contenido.php?es&publicaciones⏎South-Central Italian (Rohlfs, 1
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
- L0:1301 suppresses
- L0:1224 suppresses
- L0:178 suppresses
- L0:1 suppresses
- L0:2587 weakly suppresses
- L0:799 weakly suppresses
- L0:1369 weakly suppresses
- L0:2507 weakly excites
- L0:188 weakly excites
- L0:4 weakly suppresses
- L0:2500 weakly suppresses
- L0:639 weakly excites
- L0:537 weakly suppresses the 'or' in 'and/or'
- L0:798 weakly excites
- L0:1697 weakly suppresses
- L0:60 weakly excites
- L0:539 weakly suppresses
- L0:3012 weakly excites
- L0:296 weakly suppresses
- L0:1121 weakly excites
- L0:93 weakly suppresses
- L0:1249 weakly suppresses
- L0:1536 weakly excites
- L0:2468 weakly excites
Feeds later layers
- L18:1979 suppresses
- L5:3014 excites
- L16:2595 weakly suppresses
- L10:2469 weakly excites
- L4:1957 weakly excites
- L14:1104 weakly suppresses
- L16:1124 weakly suppresses
- L9:2857 weakly excites
- L6:1752 weakly excites
- L19:1767 weakly suppresses
- L5:391 weakly suppresses
- L18:2749 weakly suppresses
- L21:1284 weakly excites
- L15:2095 weakly suppresses
- L14:1015 weakly suppresses
- L21:2166 weakly suppresses
- L8:133 weakly excites
- L26:2960 weakly excites
- L6:770 weakly excites
- L9:2301 weakly excites
- L6:231 weakly suppresses
- L2:1251 weakly excites
- L3:2965 weakly excites
- L17:1008 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
- 读后
- 寤
- 解
- 业
- 三次
- clearTimeout
- 楔
- 两次
- 熄
- ████
Suppresses
- quelle
- gue
- otide
- sense
- viewpoint
- egas
- →statement
- …”
- otype
- ätze