Neuron Explorer

Qwen3-0.6B

unclear: 'all', 'little' and 'small' in emphasis

A neuron in layer 19 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them peak on the same token. It is featured, so it has steering outputs.

What this neuron does

It fires weakly on words like 'all', 'little' and 'small' in phrases that emphasise or play down an amount, such as 'Strangest of all' or 'every little change'. The pattern is faint and inconsistent. Turning it down made the text collapse into repeated 'and, or' lists.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

    and the telescope) can see. Those objects are getting farther away all the time because the universe is expanding, and moreover the expansion is accelerating. Strangest of all, the luminous matter of the galaxies—everything we see shining in the

  2. #2 peak

    a significant contribution of common sequence variants to the phenotypic variability of common disease4,5⏎. Taken together, these observations have led to the evolution of the Common Disease / Rare Variant

  3. #3 peak

    беспартийная система⏎5) a right of voting e) гражданин государства⏎6) district court f) гражданские и уголовные дела⏎7) a resident of the state g) правительство⏎8

  4. #4 peak

    keeping yourself in a position of power by making the people under you disagree with each other so that they are unable to join together and remove you from your position A small minority have continued to govern by a policy of divide and conquer.⏎

  5. #5 peak

    when he was a kid. All you have to do is find a piece of paper and use your imagination to draw

  6. #6 peak

    you wish to move up, you’ll need to prove again and again that you know how to navigate technology. Sometimes, having that little bit of extra knowledge can really make a difference in your salary and lifestyle down the

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: if, for, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or, or,

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

    18th century, to Peter I?⏎Professor Andrzej NOWAK: One could draw three lines along which this phenomenon develops. The first, probably the oldest, is connected with the hope of converting the Orthodox Moscow,

  2. #2 peak

    8 note) who remarks: — "Um dies (i.e. Varro's description of the extent of Roma quadrata) mit dem unten erörterten Pomerium und der Auffassung des Dionys. I 8

  3. #3 peak

    ifism among its electorate, let alone industrial backwardness. It was in essence a warfare state, organized around the successful prosecution of war, albeit of a very specific kind (a new kind of machine-based conflict).⏎The background to Britain’s entry

  4. #4 peak

    no longer match the original. Another case is where we need to authenticate some data, i.e. produce a kind of integrity check that only a party with a given private key could produce. (In this case, the general solution is to combine

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. L18:1415 excites
  2. L18:767 excites
  3. L18:2189 excites
  4. L11:870 excites
  5. L4:1743 weakly suppresses
  6. L13:976 weakly suppresses
  7. L16:507 weakly suppresses
  8. L17:3009 weakly suppresses
  9. L18:247 weakly excites
  10. L14:315 weakly excites
  11. L3:247 weakly excites
  12. L18:238 weakly suppresses
  13. L6:199 weakly excites
  14. L8:14 weakly excites
  15. L17:543 weakly excites
  16. L1:289 weakly suppresses
  17. L17:416 weakly suppresses
  18. L18:560 weakly excites
  19. L18:1952 weakly suppresses
  20. L3:997 weakly excites
  21. L1:1460 weakly excites
  22. L8:16 weakly suppresses
  23. L18:135 weakly excites
  24. L16:981 weakly suppresses

Feeds later layers

  1. L20:2016 excites
  2. L22:576 excites
  3. L25:2331 excites
  4. L20:811 suppresses
  5. L27:358 suppresses
  6. L22:397 excites
  7. L20:79 excites
  8. L21:1071 excites
  9. L27:905 excites
  10. L22:368 suppresses
  11. L26:765 excites
  12. L27:1064 excites
  13. L27:130 excites
  14. L25:127 suppresses
  15. L20:1009 suppresses
  16. L22:158 excites
  17. L27:291 suppresses
  18. L20:2831 excites
  19. L24:1505 excites
  20. L26:236 suppresses
  21. L22:632 suppresses
  22. L20:3003 excites
  23. L27:191 weakly suppresses
  24. L26:22 weakly excites the 'res' fragment inside words

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 -5.61 and -5.401 values between -4.79 and -4.591 values between -2.96 and -2.762 values between -2.76 and -2.561 values between -2.35 and -2.152 values between -2.15 and -1.952 values between -1.95 and -1.744 values between -1.74 and -1.548 values between -1.54 and -1.3412 values between -1.34 and -1.139 values between -1.13 and -0.9326 values between -0.93 and -0.7341 values between -0.73 and -0.52165 values between -0.52 and -0.32570 values between -0.32 and -0.121448 values between -0.12 and 0.091143 values between 0.09 and 0.29383 values between 0.29 and 0.4962 values between 0.49 and 0.7012 values between 0.70 and 0.908 values between 0.90 and 1.102 values between 1.10 and 1.313 values between 1.31 and 1.511 values between 1.51 and 1.711 values between 2.32 and 2.53offnegativepositiveoften

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. 's
  2. 的
  3. ’s
  4. 的是
  5. 的就是
  6. 的距离
  7. 的地
  8. なもの
  9. 的日
  10. 的传统

Suppresses

  1. 、
  2. ,
  3. 或者
  4. ITOR
  5. aurus
  6. ảy
  7. це
  8. ences
  9. antry
  10. entials