Neuron Explorer

Qwen3-0.6B

the spot after a comma in a number list

A neuron in layer 5 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featured, so it has steering outputs.

What this neuron does

The neuron fires on the empty space right after a comma in a list of numbers or years, such as "1, 1, 2, 3" or "7, 1862", where another number is expected next. Turning it up made the model produce lists of items and options, a weak match.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

    1, 1, 2, 3, 5, 8, 1

  2. #2 peak

    1, 1/4 turn clockwise and then back 2_______.⏎5.1

  3. #3 peak

    02, 2012⏎Repairing bones with nanomaterials⏎(Nan

  4. #4 peak

    0, 1, depending on the quadratic residue properties of modulo .⏎A famous result of Gauss

  5. #5 peak

    9, 2012⏎Share Email Print⏎Kate Wong is an editor and writer

  6. #6 peak

    7, 1862.⏎This navy blue infantry battle regalia is made out of

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: "You know, it's a small thing, or a small thing, or a minute." But the question is about how I would approach it, I need to check if there is any other thing. Okay, let I think about that

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

    Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights.⏎Rosenblatt, David M., "Music Listening as Therapy" (2015). Loma Linda University Electronic

  2. #2 peak

    objectives, Multiple stakeholders, Decision-making, Flood management⏎Civil and Environmental Engineering⏎Akter, Taslima and Simonovic, Slobodan P., "A General Overview of Multi-objective Multiple-participant Decision Making for Flood Management"

  3. #3 peak

    Constitution Act, 1982. Chapter 11 of the UFA establishes a blueprint

  4. #4 peak

    , Proceedings of the 13th USENIX Security Symposium, 2004.⏎Garfinkel, S. and Shelat, A., "Remembrance of Data Passed: A Study of Disk Sanitization Practices," IEEE

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. L2:66 excites
  2. L4:3 excites commas after citation fields
  3. L1:86 excites
  4. L0:2921 suppresses
  5. L2:1395 weakly suppresses
  6. L4:19 weakly suppresses
  7. L3:487 weakly suppresses
  8. L3:71 weakly suppresses
  9. L4:774 weakly excites
  10. L4:25 weakly excites
  11. L2:3005 weakly suppresses
  12. L3:342 weakly excites
  13. L1:575 weakly suppresses
  14. L3:2497 weakly excites
  15. L3:187 weakly excites
  16. L1:1757 weakly suppresses
  17. L0:2650 weakly suppresses
  18. L2:2692 weakly excites
  19. L4:97 weakly suppresses
  20. L0:1362 weakly excites
  21. L2:129 weakly excites
  22. L1:1792 weakly excites
  23. L3:57 weakly suppresses
  24. L4:2448 weakly excites numerical computing and library names

Feeds later layers

  1. L7:42 weakly excites
  2. L24:877 weakly suppresses
  3. L12:1999 weakly excites
  4. L13:1505 weakly suppresses
  5. L22:2971 weakly suppresses
  6. L22:1099 weakly suppresses
  7. L9:3058 weakly suppresses
  8. L8:2548 weakly suppresses
  9. L12:2221 weakly suppresses
  10. L18:2870 weakly suppresses
  11. L10:1750 weakly suppresses
  12. L25:267 weakly excites
  13. L15:1305 weakly excites
  14. L20:3063 weakly suppresses
  15. L19:2589 weakly excites
  16. L27:1092 weakly suppresses
  17. L6:1948 weakly excites
  18. L8:599 weakly excites
  19. L22:2576 weakly suppresses
  20. L12:2123 weakly excites
  21. L22:1522 weakly suppresses
  22. L8:3028 weakly excites
  23. L23:1218 weakly suppresses
  24. L12:179 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 -1.94 and -1.841 values between -1.11 and -1.011 values between -0.80 and -0.701 values between -0.70 and -0.606 values between -0.49 and -0.3926 values between -0.39 and -0.29138 values between -0.29 and -0.18549 values between -0.18 and -0.081327 values between -0.08 and 0.031204 values between 0.03 and 0.13484 values between 0.13 and 0.23127 values between 0.23 and 0.3429 values between 0.34 and 0.4410 values between 0.44 and 0.542 values between 0.54 and 0.651 values between 0.65 and 0.751 values between 2.10 and 2.20offnegativepositiveoften

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. allah
  2. ;"><?
  3. 公司
  4. apture
  5. 管理模式
  6. 提供的
  7. nok
  8. 抓
  9. v
  10. Anonymous

Suppresses

  1. endregion
  2. ynth
  3. .region
  4. če
  5. רט
  6. uxt
  7. conse
  8. Brady
  9. erce
  10. arine