Neuron Explorer

Qwen3-0.6B

the word 'one' as a pronoun

A neuron in layer 20 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 lights up on the word "one" when it is used as a pronoun, as in "one of the biggest factors" or "one another". When it was turned up, the model's output fell into loops of words like "have" and "are" or odd phrases, which doesn't clearly point to a single theme.

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

    , Auditable, and Transparent Elections):⏎[N]o matter how hard one looks for errors or faults in voting system software, there is no way to guarantee that one has found them all. Even if no errors or faults

  2. #2 peak

    . (of positions, functions, ranks, etc.) unable to be held simultaneously by one person.⏎6. Med.of or pertaining to biological substances that interfere with one another physiologically, as different types of blood in a transfusion.⏎7

  3. #3 peak

    Pharm.of or pertaining to drugs that interfere with one another chemically or physiologically and therefore cannot be mixed or prescribed together.⏎

  4. #4 peak

    England officially recognizes the colonies to be in rebellion and that they will take all steps necessary to bring the traitors to justice⏎Colonists sends of a ___as one

  5. #5 peak

    so rare that generations of men and women never live to see one, and so significant it enabled astronomers armed with telescopes and trigonometry to

  6. #6 peak

    have scars and blemishes on it. These scars and blemishes are usually a result of a skin condition or a disease that has a skin condition as one of its components. Acne is a common skin condition that causes permanent marks to

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: can can have are can can have are can can have are can can have are can can have are can can have are can can have are can can have are can can have are can can have are can can have are can can have are

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

    or string- particle or triangle- particle? No, Euler's formula has quantity (pi) which says me that the particle must be only a circle . Now I want to understand the behavior of circle - particle and therefore I need to use spatial

  2. #2 peak

    of a lego brick⏎- Number of bricks needed = volume of planet Earth / volume of a lego brick⏎We will need to use the following two formulas:⏎You can now code this algorithm using

  3. #3 peak

    Writer John Byrne maintained modest abilities for the speedster character Danny Hilltop in his series John Byrne’s Next Men. Although Danny can keep pace with a race<|endoftext|>We will talk about partial data from close to a decade's worth of data from a

  4. #4 peak

    19), Portland roses (since 1792), and Boursault roses (early 1800<|endoftext|>of Romans & Retreats⏎We don't know whether there were any Romans resident in Beech Hill, but they

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. L18:569 excites
  2. L0:1167 excites
  3. L16:145 excites
  4. L19:1241 excites
  5. L16:428 excites unclear: mid-sentence commas, 'most' before a verb
  6. L16:1370 excites
  7. L6:549 suppresses
  8. L14:246 weakly suppresses
  9. L5:46 weakly excites
  10. L8:7 weakly excites
  11. L1:92 weakly excites
  12. L2:269 weakly suppresses
  13. L2:1227 weakly suppresses
  14. L3:50 weakly excites
  15. L19:110 weakly excites
  16. L19:551 weakly excites
  17. L10:1532 weakly excites
  18. L16:135 weakly suppresses
  19. L16:118 weakly suppresses
  20. L11:981 weakly excites
  21. L17:512 weakly suppresses
  22. L0:1224 weakly suppresses
  23. L17:2047 weakly suppresses
  24. L0:741 weakly suppresses

Feeds later layers

  1. L23:1013 suppresses
  2. L27:604 suppresses
  3. L22:397 suppresses
  4. L22:228 suppresses
  5. L23:30 excites
  6. L23:127 excites
  7. L25:698 suppresses
  8. L22:309 suppresses
  9. L23:220 suppresses
  10. L22:479 suppresses
  11. L25:9 excites
  12. L21:123 suppresses
  13. L23:1210 suppresses
  14. L21:125 suppresses
  15. L24:1630 suppresses
  16. L27:565 suppresses
  17. L24:1505 suppresses
  18. L26:765 suppresses
  19. L26:53 excites
  20. L26:1078 suppresses
  21. L24:1080 suppresses
  22. L21:440 suppresses
  23. L21:1521 suppresses
  24. L24:286 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 -66.94 and -65.011 values between -61.15 and -59.221 values between -59.22 and -57.291 values between -51.51 and -49.581 values between -47.65 and -45.722 values between -45.72 and -43.793 values between -43.79 and -41.861 values between -41.86 and -39.933 values between -39.93 and -38.007 values between -38.00 and -36.075 values between -36.07 and -34.147 values between -34.14 and -32.211 values between -32.21 and -30.293 values between -30.29 and -28.366 values between -26.43 and -24.504 values between -24.50 and -22.574 values between -22.57 and -20.641 values between -20.64 and -18.713 values between -18.71 and -16.783 values between -16.78 and -14.854 values between -14.85 and -12.924 values between -12.92 and -10.991 values between -10.99 and -9.063 values between -9.06 and -7.148 values between -7.14 and -5.2115 values between -5.21 and -3.2815 values between -3.28 and -1.352812 values between -1.35 and 0.58983 values between 0.58 and 2.511 values between 2.51 and 4.442 values between 6.37 and 8.302 values between 8.30 and 10.23offnegativepositiveoften

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. icina
  2. 什么呢
  3. olate
  4. ynamic
  5. ances
  6. 渚
  7. ably
  8. ically
  9. atoria
  10. reating

Suppresses

  1. 'll
  2. 're
  3. ’ll
  4. ’re
  5. 've
  6. 'd
  7. can
  8. ’ve
  9. ’d
  10. cannot