Neuron Explorer

Qwen3-0.6B

end of document token

A neuron in layer 12 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 fires on the invisible marker the model uses to show that one document has ended and an unrelated one begins. Its strongest moments are the spot where a web page or article stops and a new, unrelated text starts. Turning it up did not produce a clear theme in the writing.

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

    , hinges on this knowledge. By expanding stress models to incorporate complex geological structures, we enhance our ability to forecast eruption sites and the paths of magma propagation accurately.<|endoftext|>|Home | About | Journals | Submit | Contact Us | Français|⏎Le

  2. #2 peak

    an error has occurred. The ldexpf() and ldexpl() functions do not set errno.⏎See attributes(5) for descriptions of the following attributes:<|endoftext|>The

  3. #3 peak

    suppose that you have a group of 1,000 city government employees and you want to survey them to find out which tools are best suited to...<|endoftext|>My recent discussion about reading in the primary grades has brought us up to the skills

  4. #4 peak

    increased amp-hour capacity from a parallel connection, understanding how these are different and the appropriate manner of charging your battery system is important in maximizing battery life and performance.<|endoftext|>A new set of MCQ Questions with Answer in the Computer Networking category. As

  5. #5 peak

    the refracted angle ( r ).⏎- The light beam can bend towards the normal or away from the normal.<|endoftext|>More girls are enrolling in school, but there are still enormous gaps. The

  6. #6 peak

    letter and the number of the cell with the percentage.⏎But for Excel to perform the calculation, this must be placed in the cell where we want the result.<|endoftext|>Designing home landscapes to be: Ecologically rich Comfortably livable Energy efficient

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:? H H H? H H H?H H H?HH?HH?HH?HH?HH?HH?HH?HH?HH?HH?HH?HH

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

    in the regions in which they have schools the past two years, and<|endoftext|>No discussions found⏎Start your discussion⏎Share your thoughts or question with experts in your field⏎Start a discussion⏎Found 2 matching solutions for this experiment⏎|Samples

  2. #2 peak

    This preview has intentionally blurred sections. Sign up to view the full version.View Full Document⏎Unformatted text preview: itself, and if ( ) ( ) lim lim x c x c h x

  3. #3 peak

    It originated in Europe and western Asia, but it was introduced and naturalized to Australia, New Zealand, and North America over time.⏎Want to save this post for later? Click Here to Pin It On Pinterest!⏎Are you interested in learning more

  4. #4 peak

    the radio commentary here:<|endoftext|>- Physical and human geography⏎- The early period, 1853–1930⏎Our editors will review what you’ve submitted and determine whether to revise the article.Join Britannica's Publishing Partner

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. L2:416 weakly suppresses
  2. L11:17 weakly suppresses
  3. L8:1424 weakly excites
  4. L11:325 weakly excites
  5. L6:1345 weakly excites
  6. L9:2732 weakly excites
  7. L11:867 weakly suppresses
  8. L6:2539 weakly suppresses
  9. L11:2787 weakly suppresses
  10. L4:2007 weakly suppresses
  11. L8:445 weakly suppresses
  12. L6:350 weakly excites
  13. L7:2951 weakly suppresses
  14. L1:2798 weakly suppresses
  15. L3:784 weakly excites
  16. L6:2387 weakly excites
  17. L1:1342 weakly suppresses
  18. L5:117 weakly excites
  19. L10:1053 weakly suppresses
  20. L4:2018 weakly excites
  21. L2:2206 weakly suppresses
  22. L8:829 weakly excites
  23. L2:2698 weakly suppresses
  24. L2:2953 weakly suppresses

Feeds later layers

  1. L13:1001 suppresses
  2. L13:1398 suppresses
  3. L14:586 suppresses
  4. L14:1641 suppresses
  5. L15:1299 suppresses
  6. L16:852 suppresses
  7. L14:267 weakly suppresses
  8. L13:2328 weakly suppresses
  9. L14:2288 weakly excites
  10. L16:607 weakly suppresses
  11. L14:677 weakly suppresses
  12. L13:1486 weakly suppresses
  13. L14:662 weakly excites
  14. L19:1602 weakly suppresses
  15. L17:410 weakly excites
  16. L14:2974 weakly suppresses
  17. L20:390 weakly suppresses
  18. L20:3028 weakly suppresses
  19. L14:1623 weakly suppresses
  20. L17:59 weakly excites
  21. L22:1829 weakly suppresses
  22. L13:2449 weakly suppresses
  23. L19:1363 weakly suppresses
  24. L21:2517 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.

206 values between -0.74 and -0.322929 values between -0.32 and 0.10759 values between 0.10 and 0.525 values between 0.52 and 0.931 values between 0.93 and 1.351 values between 2.19 and 2.601 values between 6.78 and 7.191 values between 7.19 and 7.611 values between 7.61 and 8.031 values between 8.44 and 8.861 values between 9.28 and 9.701 values between 9.70 and 10.111 values between 15.54 and 15.95offnegativepositiveoften

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. øy
  2. imax
  3. zheimer
  4. émon
  5. isch
  6. igner
  7. TextAlign
  8. ług
  9. diret
  10. riere

Suppresses

  1. اط
  2. Others
  3. others
  4. Another
  5. scape
  6. 暂时
  7. ORS
  8. plaint
  9. 其次是
  10. 另一个