Neuron Explorer

Qwen3-0.6B

the word 'about'

A neuron in layer 19 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on the word 'about' in many senses: 'that's about all', 'about to try', 'about 99%', 'about as sexy as'. Turning it up made the model's text drift toward news-like and general wording, though the steered outputs are not very clearly on one theme.

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 activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

  1. #1 peak

    and francophone countries.⏎- Colonial rule⏎ASJC Scopus subject areas⏎- Economics and Econometrics⏎- Organizational Behavior and Human Resource Management<|endoftext|>- About ASTI⏎- Pay and Conditions⏎- ASTI Membership⏎- Operation of

  2. #2 peak

    you can attach a label to it that says this home meets the HUD Code. Obviously there are several layers of bureaucracy involved in all of this, but that’s about all there is to it.⏎There are fines for failures to comply with the Code

  3. #3 peak

    the family from then on.⏎That’s about all I’d say in a first go-round; go into other details (like

  4. #4 peak

    transmission of electrical signals and also deliver energy to neurons and remove neuronal waste products. While appearing to be a little more interesting than originally thought, glia still seemed about as sexy as wire insulation, food delivery and

  5. #5 peak

    the Museum of Connecticut Glass hosted "It's About Connecticut Glass," an exchange between local historical societies, representatives from Connecticut glass works,

  6. #6 peak

    Overall, these tests have excellent detection rates (~99%) with very low false-positive rates (~0.2%). In other words, these tests are about 99.0% sensitive and 99.8% specific.⏎

Steering

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.

turned down a lot
Prompt

Here is something I have been thinking about lately: some people can be very successful, but not to the same level to which others are successful. That is, there are no absolages for the same kind of success. So I have to be more creative, to see more possibilities to make

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

  1. #1 peak

    Bethel and Dan, whose golden bull-calf statues they declared idolatrous.⏎In reaction<|endoftext|>Like Father, Unlike Son⏎The Battle of Tours in 732 was a turning point in the wars against the Umayyad Cal

  2. #2 peak

    , January 2003, December 2006⏎Part I: The Umayyad Caliphate (661 – 750 CE)⏎5 Tibet on the Eve of the Arrival of the First Muslim

  3. #3 peak

    much more!⏎Discover the world of gorillas and other primates their remarkable intelligence and social behavior⏎66 pages; ISBN 9780756668082⏎, or download in⏎More Ju

  4. #4 peak

    that usually is followed by an implication that could be generalized for a broader extrapolated definition. This particular one is derived from the good old Spring and Autumn period (772BC to 403BC) and the Warring States period

Connections

Show on map

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Fed by earlier layers

  1. L18:1442 strongly suppresses unclear: word fragments and digits inside numbers
  2. L0:2319 excites
  3. L18:205 suppresses
  4. L4:1049 excites
  5. L2:2028 suppresses
  6. L18:569 excites
  7. L18:173 excites
  8. L16:112 excites
  9. L18:139 suppresses
  10. L4:1393 suppresses
  11. L11:981 excites
  12. L16:84 excites
  13. L16:135 suppresses
  14. L18:1380 weakly excites
  15. L16:503 weakly excites
  16. L16:673 weakly excites
  17. L16:75 weakly suppresses
  18. L16:374 weakly excites
  19. L17:350 weakly excites
  20. L16:78 weakly suppresses
  21. L2:43 weakly suppresses
  22. L3:50 weakly excites
  23. L10:559 weakly suppresses
  24. L14:643 weakly excites

Feeds later layers

  1. L20:1793 suppresses
  2. L20:558 suppresses
  3. L21:2906 excites
  4. L20:2115 excites
  5. L22:607 excites
  6. L27:3013 weakly suppresses capital L opening an acronym
  7. L20:121 weakly excites
  8. L22:2379 weakly excites
  9. L21:2341 weakly excites
  10. L20:342 weakly excites
  11. L21:442 weakly suppresses
  12. L25:2499 weakly excites
  13. L22:512 weakly excites
  14. L21:1582 weakly suppresses
  15. L26:1051 weakly excites
  16. L23:2163 weakly excites
  17. L23:1408 weakly excites
  18. L20:1310 weakly excites
  19. L20:2371 weakly excites
  20. L26:1012 weakly excites
  21. L22:2526 weakly excites
  22. L23:2739 weakly suppresses
  23. L22:2254 weakly excites
  24. L26:1456 weakly excites

Activation histogram

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.

2 values between -31.13 and -30.291 values between -26.97 and -26.141 values between -12.01 and -11.181 values between -7.85 and -7.021 values between -3.70 and -2.871 values between -2.87 and -2.041 values between -2.04 and -1.2011 values between -1.20 and -0.373157 values between -0.37 and 0.46681 values between 0.46 and 1.2951 values between 1.29 and 2.12offnegativepositiveoften

Logit lens

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 layers instead.

Promotes

  1. ificação
  2. ыв
  3. oque
  4. igel
  5. 름
  6. 위
  7. éo
  8. 的最佳
  9. feito
  10. anje

Suppresses

  1. inflate
  2. oses
  3. underline
  4. Tes
  5. сол
  6. Sibling
  7. truncate
  8. osed
  9. osing
  10. 庸