the word 'below' pointing to content further down
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. 5 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
The neuron lights up on the word "below" when a writer points the reader to something further down the page, like "click the link below" or "the resources below". When it was turned up, the model's writing did not visibly change in a clear way.
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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that we teach young people to be ‘virtually street wise’ and to keep safe. There are ways to protect your children with the internet.⏎Click the button below and click here⏎Parents’ Ultimate Guide to TikTok (Commonsense Media)⏎
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. In these WhatsApp groups, we send solution files, VU handouts, VU past papers, and links to you. To join WhatsApp groups click the below links.⏎MUST JOIN VU STUDY GROUPS⏎CS610
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our talented community members over the course of the last 12 months. To learn how to use any of these ideas in your classroom, click the information link below each example. Happy New Year!⏎If you are just starting out with ThingLink
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reduce AOM burden.⏎- acute otitis media⏎Statistics from Altmetric.com⏎If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will
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support, and encourage demand-driven, evidence-based, policy.⏎If you have any questions, or are interested in collaborating with us, please contact us using the link below.<|endoftext|>A HISTORICAL
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in the mire, many quite small. Only a few have names; these are medium-sized lakes which have been the subject of several studies.⏎On the map below several lakes are named. Using the same lake names for current and future studies helps
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: 21, 22, 17, 19, 22, 18. I've been done to do it, and I've done to do it. I've been done to do it,
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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iodiversity and Conservation (2004) 13: 2511. doi:10.1023/B:BIOC.00000
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23(2), 1976 pp. 125–135. doi:10.1112/S00255793
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Degree with<|endoftext|>- freely available⏎Sustainability 2013, 5(7), 3006-3008; doi:10.3390/su5073006
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Efficacy—A Review.” Nutrients, vol. 8, no. 2, Jan. 2016. PubMed Central, doi:
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
- L4:523 suppresses
- L3:1447 suppresses
- L4:967 excites
- L4:400 weakly excites
- L2:2856 weakly suppresses
- L3:1387 weakly excites
- L2:2377 weakly excites
- L4:19 weakly suppresses
- L4:415 weakly suppresses
- L4:2065 weakly excites
- L4:2107 weakly excites
- L2:352 weakly suppresses
- L1:2814 weakly suppresses
- L4:2071 weakly excites
- L1:726 weakly excites
- L1:1284 weakly excites
- L4:423 weakly excites
- L2:556 weakly excites
- L1:2390 weakly suppresses
- L4:1990 weakly excites
- L4:924 weakly excites
- L3:2852 weakly excites
- L4:2734 weakly excites
- L4:249 weakly suppresses
Feeds later layers
- L10:572 excites
- L12:1289 excites
- L6:1040 suppresses
- L16:735 excites
- L11:1497 excites
- L7:522 excites
- L7:1521 excites
- L7:744 excites
- L16:1979 excites
- L9:2736 weakly excites
- L14:641 weakly excites
- L7:601 weakly suppresses
- L11:474 weakly excites
- L14:2430 weakly excites
- L10:1759 weakly suppresses
- L10:2898 weakly suppresses
- L6:793 weakly excites 'this' after 'earlier' or 'in'
- L9:377 weakly excites
- L17:1093 weakly excites
- L10:81 weakly excites
- L13:2614 weakly excites
- L14:880 weakly excites
- L24:791 weakly suppresses
- L11:965 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
- formula
- keys
- (ax
- formula
- pac
- Formula
- below
- formulas
- 烊
- (values
Suppresses
- udios
- aid
- 比较多
- upside
- ardin
- 衷
- 他自己
- ances
- 非常多的
- outed