Neuron Explorer

Qwen3-0.6B

'questions' and 'others' in web boilerplate

A neuron in layer 15 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 fires on words that point at other people or common questions, like 'most common questions', 'what people are saying', or 'join thousands of others'. These are typical website filler phrases. Turning it up made the model talk about users, forums and what people have posted.

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

    . Take a look below at some of the most common questions that we hear from educators and the solution to solve them:⏎"Where do I

  2. #2 peak

    o parts online.⏎Also check up this related question :"Do any programs exist that allow you to build own LEGO plans?"⏎For more

  3. #3 peak

    ⏎*Please look at the video preview above for a clear picture of the resource.⏎♥Why You’ll LOVE it!♥⏎Here is what teacher-buyers had to say about this resource!⏎♥ “I am so excited to have found this

  4. #4 peak

    0 feet deep)<|endoftext|>- Architects & Builders⏎- Project Gallery⏎- About Us⏎In a hurry? We've put a list together of the most common questions.⏎If you can wipe the water off on the inside or outside of the window

  5. #5 peak

    a respectful and culturally sensitive manner. Privacy is essential and the nurse must be aware of their own ...⏎You have reached your viewing limit for this book.⏎What people are saying - Write a review⏎Respiratory system 52 Thoracotomy

  6. #6 peak

    soil nutrients. Limit your landscape plants to the many, appealing clay-tolerant choices. They include several small trees with showy blooms and attractive foliage.⏎Other People Are Reading⏎Eastern redbud's (Cercis canadensis)

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: when we are, as we are, in the physical, as we are, as we are, in the physical, as we are, in the physical, as we are, in the physical, as we, — — — — —

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

    desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at

  2. #2 peak

    desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To

  3. #3 peak

    desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To

  4. #4 peak

    To access this title, visit your library in the app or on the desktop website.⏎Chronicles of the imagination Ge

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. L14:2071 suppresses
  2. L9:1746 suppresses
  3. L10:439 suppresses
  4. L11:2684 weakly suppresses
  5. L5:373 weakly excites
  6. L10:1894 weakly suppresses
  7. L8:2664 weakly excites
  8. L11:2529 weakly excites 'here' in 'read more here' links
  9. L10:2061 weakly excites
  10. L10:2369 weakly excites
  11. L10:2852 weakly excites
  12. L6:2344 weakly suppresses
  13. L3:163 weakly suppresses
  14. L13:2821 weakly excites
  15. L11:1502 weakly excites
  16. L12:2430 weakly suppresses
  17. L0:403 weakly suppresses
  18. L8:2183 weakly excites
  19. L4:2641 weakly excites
  20. L13:2266 weakly excites
  21. L6:2093 weakly suppresses
  22. L7:28 weakly excites
  23. L0:1394 weakly suppresses
  24. L2:569 weakly suppresses

Feeds later layers

  1. L17:1646 excites
  2. L21:598 excites
  3. L22:2885 excites
  4. L18:2057 excites
  5. L18:2868 excites
  6. L21:1408 weakly suppresses
  7. L22:1907 weakly excites
  8. L20:397 weakly suppresses
  9. L25:1829 weakly excites
  10. L22:1615 weakly excites
  11. L18:2876 weakly excites
  12. L25:1709 weakly excites
  13. L20:1532 weakly excites
  14. L19:2961 weakly excites
  15. L17:2239 weakly excites
  16. L17:1683 weakly suppresses
  17. L25:1548 weakly excites
  18. L22:1833 weakly excites
  19. L18:2075 weakly suppresses
  20. L16:2765 weakly suppresses
  21. L20:1413 weakly excites
  22. L21:2436 weakly excites
  23. L20:1033 weakly excites
  24. L17:1360 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.

1 values between -2.40 and -2.272 values between -2.27 and -2.141 values between -2.14 and -2.011 values between -1.75 and -1.621 values between -1.62 and -1.492 values between -1.49 and -1.373 values between -1.37 and -1.243 values between -1.11 and -0.982 values between -0.98 and -0.854 values between -0.85 and -0.724 values between -0.72 and -0.5927 values between -0.59 and -0.4684 values between -0.46 and -0.33271 values between -0.33 and -0.21803 values between -0.21 and -0.081368 values between -0.08 and 0.05865 values between 0.05 and 0.18331 values between 0.18 and 0.3185 values between 0.31 and 0.4416 values between 0.44 and 0.5711 values between 0.57 and 0.704 values between 0.70 and 0.833 values between 0.83 and 0.963 values between 0.96 and 1.083 values between 1.08 and 1.211 values between 1.21 and 1.343 values between 1.34 and 1.471 values between 1.47 and 1.601 values between 1.60 and 1.731 values between 1.86 and 1.991 values between 1.99 and 2.121 values between 2.12 and 2.241 values between 2.63 and 2.76offnegativepositiveoften

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. threads
  2. 用户
  3. 网友
  4. user
  5. users
  6. 网友评论
  7. Share
  8. forum
  9. FAQ
  10. posts

Suppresses

  1. astics
  2. ndata
  3. UnderTest
  4. venient
  5. chaft
  6. lijk
  7. bilt
  8. anoia
  9. abled
  10. caffold