Neuron Explorer

Qwen3-0.6B

full stops closing a claim

A neuron in layer 19 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 full stop or question mark that ends a sentence making a complete point, especially in persuasive or explanatory English, such as 'Either true or false.' Turning it up did not produce anything clearly related, mostly drifting into Chinese text and repetition.

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

    Non-cognitivists – moral statements are non-propositional and therefore subjective.⏎Propositional – deal with verifiable facts. Either true or false. We can legitimately ask ‘is it true?’⏎Non-propositional statements are

  2. #2 peak

    day, the Government commissioned London’s sewer network, and one Thomas Crapper exploited the situation by patenting a range of flushing toilets.⏎And there we have it. For over 150-years the technology behind the flushing toilet has been faithfully

  3. #3 peak

    in the future.⏎Our parenting advice is given as suggestions only. We recommend you also consult your healthcare provider, and urge you to contact them immediately

  4. #4 peak

    But that’s neither here nor there. And kind of gross.)⏎It should be noted that the high diffusivity of caffeine is hardly a unique property, however. There are plenty of other compounds that have similar chemical backbone structures and will behave very

  5. #5 peak

    so we don’t become rebellious and wayward.⏎We have two aspects. One is forgetful. It becomes wayward sometimes, absorbed with things that are

  6. #6 peak

    ago, an ultra-conservative Floridian took his case to his state supreme court to fight for his right to wear a mask? Yep. Is this fake news? Nope.⏎So what gives? Why do so many people now philosophically insist that

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: that which which, which in which, with which, that which of which which which... on which, which which... which... in which, which which, with which, which, with which on which, with which on which... in

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

    法、分析法来进行研究,探讨泰国学生在学习汉语助动词中的困难及偏误情况,分析他们产生偏误的原因。我们发现经过基于对比研究设计的汉语助动词课堂教学后,“

  2. #2 peak

    东方在线 发布人:young⏎14. Energy Resources⏎China is rich in various energy resources.

  3. #3 peak

    對 CNY 感興趣?⏎Early Currency in China⏎With a history of over 3000 years

  4. #4 peak

    secretpassword';⏎mysql> GRANT ALL PRIVILEGES ON database_name.* TO user_name@localhost;⏎

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. L13:44 strongly suppresses inside web addresses and citations
  2. L10:155 strongly excites
  3. L18:66 strongly suppresses
  4. L15:59 strongly suppresses
  5. L8:328 excites
  6. L11:223 excites
  7. L18:409 excites
  8. L18:515 suppresses
  9. L12:158 suppresses
  10. L15:390 excites
  11. L18:178 excites
  12. L17:56 suppresses
  13. L10:669 suppresses
  14. L18:227 suppresses
  15. L16:762 excites
  16. L7:92 excites
  17. L15:184 excites
  18. L9:74 excites
  19. L4:76 excites
  20. L18:382 suppresses
  21. L4:342 suppresses
  22. L16:513 excites
  23. L17:473 suppresses
  24. L17:35 excites

Feeds later layers

  1. L23:105 strongly suppresses
  2. L20:296 strongly excites
  3. L23:25 strongly excites
  4. L27:19 strongly excites
  5. L20:473 strongly excites
  6. L27:59 strongly excites full stops in running text
  7. L26:372 strongly excites
  8. L23:278 strongly excites
  9. L27:452 strongly excites
  10. L26:277 strongly excites
  11. L23:509 strongly excites
  12. L25:242 strongly suppresses
  13. L25:198 strongly excites
  14. L27:224 strongly excites
  15. L20:940 strongly excites
  16. L27:508 strongly excites
  17. L24:192 strongly suppresses
  18. L24:400 strongly excites
  19. L21:370 strongly excites
  20. L27:100 strongly excites
  21. L27:258 strongly excites
  22. L23:242 strongly excites
  23. L27:157 strongly excites
  24. L24:421 strongly 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.

14 values between -2.06 and -1.7981 values between -1.79 and -1.52294 values between -1.52 and -1.26712 values between -1.26 and -0.991031 values between -0.99 and -0.721010 values between -0.72 and -0.45430 values between -0.45 and -0.1886 values between -0.18 and 0.0926 values between 0.09 and 0.3627 values between 0.36 and 0.6315 values between 0.63 and 0.9014 values between 0.90 and 1.1720 values between 1.17 and 1.4414 values between 1.44 and 1.718 values between 1.71 and 1.984 values between 1.98 and 2.246 values between 2.24 and 2.5110 values between 2.51 and 2.788 values between 2.78 and 3.0511 values between 3.05 and 3.326 values between 3.32 and 3.594 values between 3.59 and 3.866 values between 3.86 and 4.1317 values between 4.13 and 4.405 values between 4.40 and 4.673 values between 4.67 and 4.948 values between 4.94 and 5.206 values between 5.20 and 5.475 values between 5.47 and 5.742 values between 5.74 and 6.0110 values between 6.01 and 6.283 values between 6.28 and 6.554 values between 6.55 and 6.821 values between 6.82 and 7.092 values between 7.09 and 7.362 values between 7.36 and 7.631 values between 7.63 and 7.902 values between 8.43 and 8.70offnegativepositiveoften

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. And
  2. 既
  3. 就
  4. And
  5. Both
  6. 要
  7. 成
  8. Of
  9. Of
  10. The

Suppresses

  1. 四个意识
  2. แพทย
  3. yling
  4. myself
  5. as
  6. 今天小编
  7. lingu
  8. からは
  9. 虿
  10. with