'://' 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. 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 is a clear URL detector: it lights up on the '://' that comes right after 'https' or 'http' when a web address starts. Turning it up made the model generate unrelated text, so the steering doesn't show this role.
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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and gender bias, lack of citizenship rights of migrant workers, and legal rights to unionized or lack thereof).Please provide resources as required by APA standards.⏎https://mynursingpaper.com/wp-content/uploads/2020/0
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1 level), called "Animal Adaptations". Please register for the second session through Eventbrite as well, if you are interested in attending both: https://scisatadapt2.eventbrite.ca⏎Please contact us if you have
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structure = function.⏎(Image from: https://commons.wikimedia.org/w/index.php?curid=12679
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ics, biotechnology, GMOs, livestock, and more.⏎Explore what’s trending in agriculture in Canada by browsing the topics here.⏎Sources available at: https://aitc-canada.ca/en-ca/learn-about-agriculture⏎snapAg
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table or similar, so more correctly it would be "pres du lit"?⏎Freeform Writing Exercise A1⏎Have a look at the link here: https://kwiziq.learnfrenchwithalexa.com
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; Measurement: Indirect Measurement And Trigonometry. Boston, MA: WGBH Media Library & Archives. Retrieved from http://openvault.wgbh.org/catalog/V_4E4EE3EAD24043E
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 don't have to do it, but I do. I did. I didn't. I did. I did: Maybe, maybe, maybe: I did, maybe did, maybe did: All of the time, maybe some,
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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unschweig. The Framing Camera project is funded by the Max Planck Society, DLR, and NASA/JPL.⏎More information about Dawn is online at http://dawn.jpl.nasa.gov.⏎Image credit: NASA/JPL-Cal
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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
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are available?⏎Dried chrysanthemum flowers can be found<|endoftext|>Copyright © University of Cambridge. All rights reserved.⏎'Trick or Treat' printed from http://nrich.maths.org/⏎Emily and Tristan from St James' School⏎
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/The-Struggle-For-Power-In-The-994323.html>.⏎"The Struggle for Power in the Ussr." StudyMode.com. 0<|endoftext|>Afghanistan and Colombia, half a world apart and different
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
- L2:1250 suppresses
- L9:11 weakly suppresses
- L6:667 weakly excites
- L1:2803 weakly excites
- L7:2492 weakly excites
- L7:2005 weakly excites
- L6:1691 weakly excites
- L9:1992 weakly excites
- L5:585 weakly suppresses
- L9:1104 weakly excites the verb 'visit' before a website
- L7:2259 weakly suppresses
- L3:1711 weakly suppresses comma inside large numbers
- L6:1089 weakly suppresses
- L8:2316 weakly suppresses
- L1:2802 weakly suppresses
- L9:566 weakly suppresses
- L0:1867 weakly excites
- L6:1651 weakly suppresses
- L7:28 weakly excites
- L6:2597 weakly excites
- L0:311 weakly suppresses
- L7:575 weakly suppresses
- L0:125 weakly suppresses
- L0:39 weakly suppresses 'the' right after 'On' in 'On the other hand'
Feeds later layers
- L24:2469 excites
- L13:370 suppresses
- L25:932 excites
- L20:1002 excites
- L11:226 excites
- L18:100 excites
- L27:53 weakly excites
- L22:532 weakly excites
- L25:594 weakly suppresses
- L13:634 weakly suppresses
- L20:661 weakly suppresses
- L15:2925 weakly excites
- L18:175 weakly excites
- L11:249 weakly excites
- L22:223 weakly suppresses
- L15:1304 weakly excites
- L25:1112 weakly excites
- L15:2388 weakly excites
- L13:1662 weakly suppresses
- L21:384 weakly suppresses
- L17:974 weakly suppresses
- L26:591 weakly suppresses
- L25:763 weakly suppresses
- L26:211 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
- kest
- acciones
- ções
- iores
- upy
- ergus
- oz
- rica
- operations
- ịch
Suppresses
- ousing
- 熬夜
- fine
- 歉
- damp
- Offline
- Singles
- '\
- _P
- 个月内