Neuron Explorer

Qwen3-0.6B

'to' after 'reason' or 'how and when'

A neuron in layer 21 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 word 'to' right after phrases like 'no reason to' or 'learn how and when to', where an infinitive is about to follow. Turning it up gave text that did not clearly change theme, and turning it down produced number lists and quiz-style text, so the link to the trigger is weak.

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

    12.054 of the Texas Property Code governs judicial<|endoftext|>Adjustment to college life after school is always a challenge for young adults. One reason to be unsuccessful in navigating stress, depression, anxiety during college days is that the maturity

  2. #2 peak

    of the planet relies on these cloud fortresses, and will do so even more in years to come. Remarkable as the cloud is, there is no reason to think it is anywhere near completion. The generation of data and the need for its

  3. #3 peak

    . (June 2009) (Learn how and when to remove this template message)|⏎The Central Business District as seen from the top of

  4. #4 peak

    ., a client and server)⏎talking to one another, we have only one channel of communication. Clearly,⏎we need more than two entities. It seems unreasonable to require a hundred⏎Looking into millennia of human uses of trust, we realize that

  5. #5 peak

    glucagon emergency kits for home and school.<|endoftext|>|This article needs additional citations for verification. (July 2012) (Learn how and when to remove this template message)|⏎Sendust is a magnetic metal powder that was invented

  6. #6 peak

    people reading this have reached an age where fat either is, or may potentially be, a problem, it’s worth stating that there’s actually no biologic reason to get f

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: the number of 3D views in a 3D view is a question of understanding the relationship of the three-dimensional views within a 3D view, and the problem is to find the best understanding of the three-dimensional views within a

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

    , England's Farnborough Airshow. Click here to read an MIT News Office story on the glider, here to read about the award, and here to check out the project homepage.<|endoftext|>Since 1993, RAN

  2. #2 peak

    release and endoscopic surgery.⏎(Click Carpal Tunnel Syndrome to learn more, including what causes the condition and who is most at risk for it. You can also click any of the links in the box to the right for specific information.)<|endoftext|>

  3. #3 peak

    by Dr Gemma Catney, Professor Richard Wright, and Professor Mark Ellis. The original article, posted in Geography Directions, can be accessed here. You can also read the full article published in Transactions of the Institute of British Geographers here.⏎

  4. #4 peak

    world of nature. We believe that children who learn to love our Earth⏎today will protect it tomorrow.⏎On our web site, you can look at our books and find out how to order them. In⏎you¡¯ll find fascinating information

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. L20:592 excites
  2. L15:2379 suppresses
  3. L20:1015 excites
  4. L20:2262 excites
  5. L17:2643 excites
  6. L19:730 excites
  7. L20:386 excites
  8. L19:1418 excites
  9. L19:2879 suppresses
  10. L16:2107 suppresses
  11. L20:2725 excites
  12. L19:1294 excites
  13. L20:2095 suppresses
  14. L19:2821 excites
  15. L19:2460 suppresses
  16. L19:385 suppresses
  17. L18:700 excites
  18. L20:1054 suppresses
  19. L18:1898 excites
  20. L20:1368 suppresses
  21. L16:1072 excites
  22. L20:1124 suppresses
  23. L5:1000 suppresses
  24. L20:1613 excites

Feeds later layers

  1. L23:966 suppresses
  2. L23:2471 suppresses
  3. L22:1896 suppresses
  4. L22:1618 excites
  5. L22:2102 suppresses
  6. L22:1991 excites
  7. L24:1996 excites
  8. L22:2801 suppresses
  9. L22:2841 suppresses
  10. L22:2306 suppresses obedience and submission
  11. L23:1827 suppresses
  12. L22:2323 excites
  13. L23:1379 suppresses
  14. L25:640 excites
  15. L23:2257 suppresses
  16. L27:1274 excites
  17. L22:952 excites
  18. L25:958 excites
  19. L23:1454 weakly suppresses
  20. L25:1483 weakly suppresses
  21. L24:442 weakly excites
  22. L24:963 weakly excites
  23. L22:593 weakly suppresses
  24. L25:800 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.

1 values between -29.34 and -28.361 values between -27.37 and -26.393 values between -15.54 and -14.553 values between -13.56 and -12.584 values between -11.59 and -10.604 values between -10.60 and -9.627 values between -9.62 and -8.634 values between -8.63 and -7.658 values between -7.65 and -6.668 values between -6.66 and -5.6713 values between -5.67 and -4.6925 values between -4.69 and -3.7042 values between -3.70 and -2.7178 values between -2.71 and -1.73186 values between -1.73 and -0.742631 values between -0.74 and 0.25702 values between 0.25 and 1.23105 values between 1.23 and 2.2246 values between 2.22 and 3.2125 values between 3.21 and 4.192 values between 4.19 and 5.185 values between 5.18 and 6.161 values between 7.15 and 8.141 values between 8.14 and 9.123 values between 9.12 and 10.11offnegativepositiveoften

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. 提供
  2. offering
  3. providing
  4. offer
  5. 给出
  6. Provide
  7. provide
  8. 推送
  9. 给她
  10. Offering

Suppresses

  1. 服从
  2. choose
  3. utsche
  4. stances
  5. 听
  6. choosing
  7. 知道了
  8. choose
  9. participated
  10. 接过