Neuron Explorer

Qwen3-0.6B

end-of-document marker 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 reacts to the invisible marker the model uses to mark where one web page or document ends and another begins. Turning it up made the model's writing wander into odd, unfocused directions, but the link to the marker is the clear part.

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

    caused<|endoftext|>This preview shows pages 1–2. Sign up to view the full content

  2. #2 peak

    he advocated for peace with the European Americans⏎Date de dernière mise à jour : 05/07/2021⏎Ajouter un commentaire<|endoftext|>By DANIEL SUDDEATH⏎NEW ALBANY —⏎Judging

  3. #3 peak

    asked<|endoftext|>Counties that gained Wal-Mart stores during the 1990s f

  4. #4 peak

    994- Drexel University. All rights reserved.⏎The Math Forum is a research and educational enterprise of the Drexel University School of Education.<|endoftext|>Maybe you’ve tried intermittent fasting (IF) to shed a few (pand

  5. #5 peak

    5mm or 120 roll film into a developing canister.⏎- Processing the film⏎Step-by-step instructions to develop your film.⏎Leave a Comment<|endoftext|>As human activities drive Earth’s rapidly changing climate, there is an urgent need to

  6. #6 peak

    a Chemistry Tutor<|endoftext|>Those who fight for us, also need people to fight for them.⏎The military

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 think I have been thinking that the most important thing is to have a strong foundation in both the subject and the skills that are used to have a strong foundation in both the subject and the skills that are used. That is the thing I

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

    cardinal numbers. You will need to add the cardinal numbers together and the fractions together. Finally, you need to check whether you can simplify the answer.⏎Step 1 - Addition, but don't forget to simplify⏎Step 2 - Drag the

  2. #2 peak

    much more!⏎Discover the world of gorillas and other primates their remarkable intelligence and social behavior⏎66

  3. #3 peak

    today is totally different and not close to what used to be American music. The question which many people ask is the vents which led to such intensive change. This essay focuses on American music genre Jazz rap which has engulfed the original culture of America

  4. #4 peak

    attle to produce sound. They will also be able to hold their head steady.⏎- Step 7: Hug them at four to five months and they should try to hug

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. L0:1224 suppresses
  2. L0:178 suppresses
  3. L0:1301 suppresses
  4. L0:462 weakly suppresses
  5. L0:1369 weakly suppresses
  6. L0:1075 weakly excites
  7. L0:1289 weakly suppresses
  8. L0:317 weakly excites
  9. L0:42 weakly excites
  10. L0:60 weakly excites
  11. L0:88 weakly excites
  12. L0:1046 weakly excites
  13. L0:1141 weakly excites
  14. L0:191 weakly suppresses
  15. L0:1126 weakly excites
  16. L0:1041 weakly excites
  17. L0:2515 weakly excites
  18. L0:1173 weakly suppresses
  19. L0:1885 weakly suppresses
  20. L0:748 weakly excites
  21. L0:402 weakly suppresses
  22. L0:1316 weakly suppresses
  23. L0:1554 weakly excites
  24. L0:2961 weakly suppresses

Feeds later layers

  1. L16:437 weakly excites
  2. L15:1058 weakly suppresses
  3. L8:1001 weakly excites
  4. L4:2799 weakly suppresses
  5. L23:929 weakly suppresses
  6. L17:1585 weakly suppresses
  7. L25:515 weakly suppresses
  8. L10:1095 weakly suppresses
  9. L17:2923 weakly excites
  10. L8:717 weakly suppresses
  11. L5:2683 weakly suppresses
  12. L20:829 weakly suppresses
  13. L24:1256 weakly excites
  14. L14:2505 weakly excites
  15. L5:2086 weakly suppresses
  16. L8:1007 weakly suppresses
  17. L15:1540 weakly excites
  18. L4:233 weakly excites line break in the middle of a sentence
  19. L8:34 weakly suppresses
  20. L21:1175 weakly suppresses
  21. L6:229 weakly suppresses
  22. L10:2880 weakly excites
  23. L15:107 weakly excites
  24. L16:726 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 -1.27 and -1.171 values between -0.47 and -0.378 values between -0.37 and -0.2763 values between -0.27 and -0.16520 values between -0.16 and -0.062282 values between -0.06 and 0.04873 values between 0.04 and 0.14126 values between 0.14 and 0.2423 values between 0.24 and 0.342 values between 0.34 and 0.441 values between 1.35 and 1.451 values between 1.45 and 1.551 values between 1.75 and 1.851 values between 1.85 and 1.952 values between 2.16 and 2.261 values between 2.26 and 2.361 values between 2.46 and 2.561 values between 2.66 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. nost
  2. posable
  3. 'h
  4. .asList
  5. .t
  6. ptide
  7. 慑
  8. iband
  9. loc
  10. >t

Suppresses

  1. /cop
  2. DOG
  3. KeyType
  4. CUT
  5. editing
  6. -strokes
  7. コピー
  8. alin
  9. 又是
  10. areas