Neuron Explorer

Qwen3-0.6B

start-of-document end token

A neuron in layer 1 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

This neuron lights up on the hidden marker that separates one web page or document from the next. It stays quiet on ordinary words. Turning it up made the model's text wander without a clear theme, so its job seems to be about where a new document begins rather than about any topic.

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

    <|endoftext|>House in Space, from a NASA Remix Challenge. Credit: Cookieater20

  2. #2 peak

    <|endoftext|>10 Tips for Parents of Prospective College Students⏎1. Choosing a Career

  3. #3 peak

    <|endoftext|>Active transportation refers to non-motorized transportation modes, such as bicycling and

  4. #4 peak

    <|endoftext|>Public holidays in Pakistan are different than bank holidays in the country. While all of

  5. #5 peak

    <|endoftext|>Philosophy East and West 46 (2):143-

  6. #6 peak

    <|endoftext|>Cancer & Tumorigenesis⏎Cancer describes the disease with un

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: I am not, but I have no one. I. I have no............... but............... I am not...... I have no............ but...... I. So I have no.

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

    AB 100 AND ARAB 210⏎|SPRING

  2. #2 peak

    … Also, poultry must not be left outside the refrigerator for more than two hours.⏎

  3. #3 peak

    … Read more<|endoftext|>problem 1: Define the term IT. describe different IT trends

  4. #4 peak

    al factors: unbalanced nutrition, excessive exercise and/or trauma⏎Most foals will

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 suppresses
  3. L0:1301 suppresses
  4. L0:139 excites
  5. L0:2877 weakly suppresses
  6. L0:2242 weakly excites
  7. L0:2672 weakly excites
  8. L0:2582 weakly suppresses
  9. L0:2639 weakly excites unclear: weak hits on 'holiday' and 'playing', negative on 'Ada-fruit'
  10. L0:552 weakly excites
  11. L0:2425 weakly excites
  12. L0:1 weakly suppresses
  13. L0:1746 weakly excites
  14. L0:2844 weakly excites
  15. L0:2857 weakly suppresses
  16. L0:861 weakly suppresses
  17. L0:2415 weakly suppresses
  18. L0:1780 weakly suppresses
  19. L0:330 weakly excites
  20. L0:799 weakly suppresses
  21. L0:1947 weakly suppresses
  22. L0:2972 weakly excites
  23. L0:2646 weakly suppresses
  24. L0:1638 weakly excites

Feeds later layers

  1. L2:0 suppresses
  2. L27:1551 excites
  3. L27:2520 excites
  4. L10:43 weakly excites "terms" in "in terms of"
  5. L5:1190 weakly excites
  6. L27:1938 weakly excites
  7. L9:2648 weakly suppresses
  8. L9:565 weakly suppresses
  9. L10:243 weakly excites
  10. L22:1458 weakly suppresses
  11. L16:1085 weakly excites
  12. L12:2523 weakly excites
  13. L22:421 weakly suppresses
  14. L3:754 weakly excites
  15. L3:1230 weakly excites
  16. L18:579 weakly excites
  17. L2:321 weakly suppresses
  18. L3:1159 weakly excites
  19. L4:734 weakly excites
  20. L11:3050 weakly suppresses
  21. L15:2602 weakly suppresses
  22. L23:1821 weakly suppresses
  23. L2:128 weakly suppresses
  24. L11:2656 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 -0.53 and -0.484 values between -0.48 and -0.436 values between -0.43 and -0.385 values between -0.38 and -0.3313 values between -0.33 and -0.2810 values between -0.28 and -0.2321 values between -0.23 and -0.1860 values between -0.18 and -0.12121 values between -0.12 and -0.07583 values between -0.07 and -0.022478 values between -0.02 and 0.03425 values between 0.03 and 0.08106 values between 0.08 and 0.1346 values between 0.13 and 0.1815 values between 0.18 and 0.239 values between 0.23 and 0.283 values between 0.28 and 0.331 values between 0.33 and 0.391 values between 1.45 and 1.50offnegativepositiveoften

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. eenth
  2. ItemClickListener
  3. anine
  4. zers
  5. 公交车
  6. $update
  7. 向社会
  8. protect
  9. 放心
  10. .addTo

Suppresses

  1. lạ
  2. ể
  3. 阱
  4. '",⏎
  5. cử
  6. лим
  7. 围着
  8. 墙上
  9. ivered
  10. keiten