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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. 10 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 most strongly at the seam where one web page ends and another begins, or in page furniture like 'Skip to main content' and 'Deposited By:'. It is mostly a marker for the edges of scraped page text. Turning it up gave text with no clear link to this pattern.
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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will give a useful input to those interested in Artificial Intelligence in education.⏎|Subjects:||L Education > L Education (General)|⏎|Deposited By:||Zaidatun Tasir|⏎|Deposited On:||2
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VS is a promising alternative strategy to produce the functional and thermostable reverse transcriptase.⏎All Science Journal Classification (ASJC) codes⏎- Insect Science<|endoftext|>An account of the religion of
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.⏎ASJC Scopus subject areas⏎- Electronic, Optical and Magnetic Materials⏎- Ceramics and Composites⏎- Condensed Matter Physics⏎- Materials Chemistry<|endoftext|>Humans are intimately connected with the physical environment, even though we have only been present
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Choose the book you like when you register 4.⏎Discussion questions for ‘The Death and Life of the Great Lakes’⏎Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. They
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-835-5322 (TTY) or at email@example.com.<|endoftext|>Table of Contents :⏎Top Suggestions Senior Kindergarten Writting Worksheet :⏎Senior Kindergarten Writting Worksheet In this worksheet your students will practice their handwriting
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about it<|endoftext|>Press Release 07-030⏎Survey Reveals Family Ties
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:So this is a problem about:This is athis isomething...this isomething...this isomething...this isomething...thisomething...thisisomething...thisisomething...thisisomething...thisisomething...thisisomething
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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two different numbers cant have the same cube). Therefore, by Definition 1, is one-to-one....⏎View Full Document⏎- Spring '09<|endoftext|>part of speech: noun⏎definition 1: an
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–2. Sign up to view the full content.⏎This preview has intentionally blurred sections. Sign up to view the full version.View Full Document⏎Unformatted text preview: 60 | | | | CHAPTER 1 FUNCTIONS AND MODELS Not
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This preview has intentionally blurred sections. Sign up to view the full version.View Full Document⏎Unformatted text preview: itself, and if ( ) ( ) lim lim x c x c h
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prior to enrolling in the course. She obtained the following five number summary:⏎Use this information to draw a boxplot of the reading speed.⏎Answer to relevant QuestionsThe following
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
- L9:223 suppresses
- L7:45 suppresses
- L8:368 suppresses
- L9:1934 excites
- L9:1301 excites
- L9:1201 excites
- L8:490 excites
- L9:1750 excites
- L4:761 suppresses
- L6:2905 suppresses
- L2:1049 excites
- L7:456 excites
- L8:1984 suppresses
- L9:2861 suppresses
- L3:255 weakly excites
- L6:49 weakly suppresses
- L6:1873 weakly suppresses
- L8:639 weakly suppresses
- L9:1265 weakly excites
- L4:821 weakly excites
- L5:11 weakly excites
- L1:1943 weakly excites
- L4:703 weakly suppresses
- L5:780 weakly suppresses
Feeds later layers
- L14:487 suppresses
- L11:17 suppresses
- L17:1360 suppresses
- L13:983 suppresses
- L11:171 excites
- L14:2348 suppresses
- L12:1109 suppresses end of document token
- L11:1619 suppresses
- L15:145 excites
- L11:62 excites
- L13:283 suppresses
- L12:1386 suppresses
- L12:2905 suppresses
- L11:29 excites
- L12:1145 suppresses
- L14:1315 suppresses
- L21:2689 suppresses
- L11:1826 suppresses
- L16:20 excites
- L12:2758 suppresses
- L18:1341 suppresses
- L13:1443 suppresses
- L15:1620 suppresses period ending a sentence in essays
- L11:122 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
- Center
- thought
- ANNOT
- 缴纳
- 招待
- ỉ
- ENSION
- 元
- Imp
Suppresses
- alité
- [param
- yle
- Jays
- setMax
- ohana
- mour
- veal
- neau
- ToBounds