Neuron Explorer

Qwen3-0.6B

the word 'operation' and its forms

A neuron in layer 3 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on the word 'operation' and related forms like 'operating' and 'operations', especially in business, medical and school contexts. Turning it up did not bring out that theme in the model's replies.

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

  1. #1 peak

    Conversion of Truth Into Necessity. D. Moshman, The Development of Metalogical Understanding. W.M. Gray, Formal Operational Thought. J.S. Black, W.F. Overton, Reasoning,

  2. #2 peak

    ⏎- Economics and Econometrics⏎- Organizational Behavior and Human Resource Management<|endoftext|>- About ASTI⏎- Pay and Conditions⏎- ASTI Membership⏎- Operation of Schools⏎While work experience can offer students valuable experience of employment and the workplace

  3. #3 peak

    school board, and was the first Chief of the Fire Department. His Sunbury Road home was a stop on the Underground Railroad.⏎Johann Christian Heyl operated a hostelry at Rich and High streets for 28 years in the early

  4. #4 peak

    decision-making within organizations and is best known for the theory of “bounded rationality” and the theory of “satisficing.” He applied psychology to statistics, operations, and decision-making scenarios to help define the process that people go through when form

  5. #5 peak

    of work⏎- Quality solution with 100% plagiarism free answers⏎- Time on Delivery⏎- Privacy of information and details⏎- Excellence in solving Operations Management questions in excels and word format.⏎- Best tutoring assistance 24

  6. #6 peak

    studies made on freeways in Houston, Dallas and Fort Worth, Texas.⏎Research was conducted in the following areas: operation and capacity, freeway volume control, lane use and placement, entrance ramps and weaving

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: the role of a student of the old world, and the fact that I am a student of the new world. So, maybe, I have a lot of things, but now, I am also a student of something else. So,

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

    a male to being ranked #1 in the nation when competing as a female.⏎In 2018, Connecticut's high school state champion and state runner up in the womens' 100-meter dash were both biological males who identify

  2. #2 peak

    gardeners often disturb when raking up mulch or renovating garden beds. Females often carry their egg sacs

  3. #3 peak

    . Cally Harper, a doctoral student at Brown University, along with a team of researchers, set out to better understand how bats use their tongues when lapping up nectar. Scientists have known that they have hairy-looking tongues; the hairs are

  4. #4 peak

    overlooked data sources and to improved techniques in using well-known data. The emphasis is on sources and methods that analysts can use in their own work. Researchers often run into knotty data problems involving data interpretation or manipulation that must be solved before a project

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. L0:178 suppresses
  2. L0:1224 weakly suppresses
  3. L0:1301 weakly suppresses
  4. L0:759 weakly excites
  5. L2:122 weakly excites
  6. L2:1494 weakly suppresses
  7. L1:1973 weakly suppresses
  8. L0:2619 weakly suppresses
  9. L0:2316 weakly suppresses
  10. L2:2773 weakly excites
  11. L2:41 weakly suppresses
  12. L2:2328 weakly suppresses
  13. L2:356 weakly excites
  14. L2:2047 weakly excites
  15. L2:2002 weakly suppresses
  16. L2:49 weakly suppresses
  17. L1:853 weakly excites
  18. L2:542 weakly excites
  19. L2:1657 weakly excites
  20. L1:491 weakly excites
  21. L2:2473 weakly suppresses
  22. L0:521 weakly suppresses
  23. L2:2202 weakly excites
  24. L2:2695 weakly excites

Feeds later layers

  1. L4:2379 excites
  2. L4:1211 weakly excites
  3. L27:1319 weakly excites
  4. L22:46 weakly excites
  5. L26:1676 weakly excites
  6. L7:2713 weakly excites
  7. L17:93 weakly excites
  8. L8:2443 weakly excites unclear: body harm and skin wear
  9. L10:1615 weakly suppresses
  10. L5:1947 weakly excites
  11. L4:1619 weakly excites
  12. L9:1406 weakly excites
  13. L14:2477 weakly suppresses
  14. L25:1604 weakly excites
  15. L12:1801 weakly suppresses
  16. L13:2605 weakly suppresses opening parenthesis after a measurement
  17. L8:2357 weakly excites
  18. L9:1195 weakly suppresses
  19. L21:1565 weakly excites
  20. L19:2074 weakly excites
  21. L16:1081 weakly suppresses
  22. L8:2827 weakly suppresses
  23. L4:2966 weakly excites
  24. L6:1184 weakly suppresses

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.

21 values between -0.53 and -0.36179 values between -0.36 and -0.191666 values between -0.19 and -0.021854 values between -0.02 and 0.15166 values between 0.15 and 0.3212 values between 0.32 and 0.483 values between 0.48 and 0.651 values between 0.65 and 0.823 values between 0.82 and 0.991 values between 0.99 and 1.161 values between 1.67 and 1.841 values between 6.07 and 6.23offnegativepositiveoften

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. (operation
  2. Operator
  3. operator
  4. eci
  5. (operator
  6. băng
  7. Де
  8. startIndex
  9. 操作
  10. Operators

Suppresses

  1. ountain
  2. ramid
  3. clad
  4. 第一书记
  5. bei
  6. componentWill
  7. `.
  8. ammer
  9. %D
  10. 非要