Neuron Explorer

Qwen3-0.6B

end of document token

A neuron in layer 11 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

It lights up on the invisible marker the model uses to show that one document has ended and an unrelated one begins. Its negative hits are in odd spots inside lists and citations. Turning it up made the model repeat itself and drift into unrelated topics.

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

    –6. Warsaw, 1877–82.⏎Pamiqtki Soplicy. Warsaw, 1961.<|endoftext|>Translate this page into:⏎Approach to family assessment and intervention⏎All India Institute

  2. #2 peak

    9, 2002⏎Elysia from Gulf of Mexico⏎From: Anna L. Bass, October 8, 2002<|endoftext|>|Tourists visit slave cabins at Boone Hall plantation, near Charleston|⏎|Vis

  3. #3 peak

    is sharp and cutting resistance is small.⏎- Excellent cutting surface roughness can be produced even when machining at low speed.⏎- Suitable for soft materials or workpieces<|endoftext|>Fernanda vertelt haar verhaal in een gesprek met CSL

  4. #4 peak

    ; cultivated and adventive worldwide, including in China.⏎(Authors: She Menglan (佘孟兰 Sheh Meng-lan); Mark F. Watson)<|endoftext|>By Cary Groner⏎3D printing has been waiting to disrupt the orthotics

  5. #5 peak

    a religious or educational one.⏎D<|endoftext|>Administration of Justice 104:⏎Unit Objectives: At the completion of

  6. #6 peak

    affected by a bad situation⏎Savings can act as a cushion against unemployment.⏎the soft rubber edge of the table used for playing billiards or snooker<|endoftext|>I have been trying to consolidate my

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 possibility of a situation where a person is not allowed to be in the same situation. The situation of a person being in the same situation is not allowed, and the possibility of a person being in the same situation is not allowed to be

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

    J.M.; Mortimer, S.R.; Brereton, T.; Redhead, J.W.; Thomas, J.A.; Pywell, R.F.. 20

  2. #2 peak

    Electoral College Cnn Blank Map Best Of Top Us Election pertaining to Blank Electoral College Map 2016 Printable, Source Image : clanrobot.com⏎

  3. #3 peak

    • Teacher Resources • Frequently Asked Questions • Glossary • References • Links to Other Mussel Sites⏎

  4. #4 peak

    JSTOR JSTOR is part of ITHAKA, a not-for-profit organization helping

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. L9:870 excites
  2. L8:258 excites
  3. L10:328 suppresses
  4. L9:690 suppresses
  5. L10:1873 excites
  6. L6:24 excites
  7. L3:22 suppresses
  8. L10:895 excites
  9. L10:692 weakly excites
  10. L8:1055 weakly suppresses
  11. L10:1037 weakly suppresses
  12. L10:48 weakly suppresses
  13. L6:198 weakly suppresses
  14. L10:18 weakly suppresses
  15. L10:593 weakly suppresses
  16. L5:345 weakly excites
  17. L8:38 weakly suppresses
  18. L7:150 weakly excites
  19. L7:332 weakly excites
  20. L9:223 weakly excites
  21. L7:258 weakly excites
  22. L10:1345 weakly excites
  23. L7:165 weakly excites
  24. L2:288 weakly excites

Feeds later layers

  1. L13:1041 strongly suppresses
  2. L13:1300 suppresses
  3. L17:1197 suppresses
  4. L12:1190 suppresses
  5. L14:2258 suppresses
  6. L14:108 excites
  7. L13:1761 suppresses
  8. L17:298 excites
  9. L19:467 suppresses
  10. L13:440 suppresses
  11. L13:886 excites
  12. L12:659 suppresses
  13. L13:849 suppresses
  14. L13:2549 suppresses
  15. L16:3015 suppresses
  16. L12:744 excites
  17. L12:396 suppresses
  18. L16:1164 suppresses
  19. L12:684 suppresses
  20. L12:1368 excites
  21. L15:2763 suppresses
  22. L13:2097 suppresses
  23. L14:561 excites
  24. L13:381 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 -3.01 and -2.901 values between -2.33 and -2.221 values between -1.99 and -1.882 values between -1.88 and -1.772 values between -1.66 and -1.541 values between -1.43 and -1.321 values between -1.32 and -1.203 values between -1.20 and -1.097 values between -1.09 and -0.981 values between -0.98 and -0.864 values between -0.86 and -0.7510 values between -0.75 and -0.6413 values between -0.64 and -0.5311 values between -0.53 and -0.4126 values between -0.41 and -0.3092 values between -0.30 and -0.19372 values between -0.19 and -0.071619 values between -0.07 and 0.04989 values between 0.04 and 0.15417 values between 0.15 and 0.27177 values between 0.27 and 0.3876 values between 0.38 and 0.4944 values between 0.49 and 0.6115 values between 0.61 and 0.7211 values between 0.72 and 0.835 values between 0.83 and 0.954 values between 0.95 and 1.062 values between 1.06 and 1.171 values between 1.40 and 1.51offnegativepositiveoften

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. res
  2. ho
  3. reve
  4. 他已经
  5. stay
  6. flare
  7. 他在
  8. 他又
  9. 祗
  10. 他对

Suppresses

  1. oins
  2. ements
  3. >(),⏎
  4. DMI
  5. .jms
  6. >").
  7. asion
  8. >",⏎
  9. ())),⏎
  10. ⏎ ⏎