Neuron Explorer

Qwen3-0.6B

end-of-text boundary tokens

A neuron in layer 26 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 another begins. Turning it up made the model fall into repeating the word 'either', and turning it down gave repetitive talk about plots.

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

    locate.<|endoftext|>Science Fair Project Encyclopedia⏎The World Factbook⏎The World Factbook is an

  2. #2 peak

    Project:<|endoftext|>After years of experience and "combing through" catalogs⏎to find the best

  3. #3 peak

    that<|endoftext|>After splitting genetically from wolves about 135,000 years ago

  4. #4 peak

    data from TC1.<|endoftext|>The concept of welfare state⏎We all know that most of the modern democratic countries

  5. #5 peak

    to like.<|endoftext|>The late Dominica-born writer Jean Rhys, best known for her novel “

  6. #6 peak

    -Pecos.<|endoftext|>top of page⏎Patterns of tree-liana interactions: distribution and host preference of

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: theorems in geometric plots which plot theorems in plot plots. plot plots plots plots plots plot plots plots plots plots plots plot plots plots plots plots plot plots plots plots plots plot plots plots plots plots plot plots plots plots plots plot plots

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

    conuts and banana leaves<|endoftext|>const void * memchr ( const void * ptr, int value, size_t num );⏎void * memchr ( void * ptr, int value, size_t num );⏎Locate character in block

  2. #2 peak

    from some neighborhoods and into others.⏎1. A storage unit designed to hold various objects.⏎2. To cause a structure to shift so that it is out of plumb.⏎1. A force that causes a structure to shift so that it is

  3. #3 peak

    who it was that posted it, and I can't see just now anyway :P)⏎void genFactorial(int x, int t)⏎int total = t; // you probably wouldn't even need total now⏎void main(void) //<|endoftext|>

  4. #4 peak

    x80;⏎P0 = 0x98;⏎P0 = 0xC0;⏎P0 = 0xff;⏎} while(1); // Endless loop<|endoftext|>Wisconsin Well Water: Planning Web-Based⏎Resources to

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. L21:341 strongly suppresses
  2. L22:259 suppresses
  3. L25:2557 suppresses
  4. L25:393 suppresses unclear: end-of-document markers
  5. L20:508 excites
  6. L20:85 suppresses
  7. L25:500 excites
  8. L21:328 excites
  9. L20:843 excites
  10. L13:643 suppresses
  11. L25:1813 excites
  12. L25:1373 excites
  13. L19:542 suppresses
  14. L15:574 suppresses
  15. L9:214 excites
  16. L16:496 excites
  17. L20:96 suppresses
  18. L14:67 suppresses
  19. L21:155 weakly suppresses
  20. L19:415 weakly suppresses
  21. L18:109 weakly suppresses
  22. L2:30 weakly suppresses
  23. L0:958 weakly suppresses
  24. L2:1287 weakly suppresses

Feeds later layers

  1. L27:619 strongly excites
  2. L27:1341 excites
  3. L27:274 excites document boundary, code keywords next
  4. L27:1666 weakly excites
  5. L27:2341 weakly excites
  6. L27:1063 weakly excites
  7. L27:614 weakly suppresses
  8. L27:1872 weakly excites
  9. L27:2654 weakly excites
  10. L27:842 weakly excites
  11. L27:2159 weakly suppresses
  12. L27:1779 weakly excites
  13. L27:1220 weakly excites
  14. L27:2553 weakly suppresses capital T starting a word
  15. L27:3023 weakly suppresses
  16. L27:1370 weakly excites
  17. L27:1899 weakly excites
  18. L27:1723 weakly excites
  19. L27:1419 weakly suppresses
  20. L27:1873 weakly excites
  21. L27:2660 weakly suppresses
  22. L27:1521 weakly excites
  23. L27:3055 weakly suppresses lowercase 'l' starting a word
  24. L27:1146 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 -3.41 and -2.631 values between -2.63 and -1.85367 values between -1.85 and -1.062711 values between -1.06 and -0.28724 values between -0.28 and 0.5036 values between 0.50 and 1.2822 values between 1.28 and 2.0713 values between 2.07 and 2.8510 values between 2.85 and 3.639 values between 3.63 and 4.412 values between 4.41 and 5.202 values between 5.20 and 5.983 values between 5.98 and 6.761 values between 6.76 and 7.541 values between 8.33 and 9.112 values between 9.11 and 9.891 values between 11.46 and 12.241 values between 12.24 and 13.021 values between 27.11 and 27.89offnegativepositiveoften

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. //
  2. //
  3. //⏎
  4. //⏎
  5. )//
  6. //"
  7. /**
  8. // ⏎
  9. /*
  10. /*

Suppresses

  1. ilight
  2. ше
  3. ande
  4. ored
  5. unist
  6. abled
  7. epid
  8. isol
  9. obao
  10. irmed