Neuron Explorer

Qwen3-0.6B

the '0' in numbers like 30 or 40

A neuron in layer 15 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 zero in two-digit numbers that start with a 3 or 4, such as 30, 40 or 4 0. It reacts to the second digit of a number. Turning it up made the model repeat phrases over and over.

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

    300K Trees in Nicosia”) NGO, Yesil Baris (Cy

  2. #2 peak

    30 major, 135 medium and around 3,000 small

  3. #3 peak

    30, Kahlo went with her husband to America. During this time, and for

  4. #4 peak

    30. It tells you the oil’s thickness or viscosity. A thinner motor oil —

  5. #5 peak

    40 years before the start of Prohibition—although her husband Rutherford B. Hayes

  6. #6 peak

    40 N⏎What is the period of a point moving along a circular path of radius

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: I have a 33333333333333333333333333333333333333333333

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

    bike was stolen. I do not know, however, who did it.⏎To change from active to passive voice follow these rules: 1- The object becomes subject. 2- Use verb to be in the tense of the active verb.

  2. #2 peak

    όν lexicon, neut. of λεξικός lexikos, "of or for words", from λέξις lexis, "speech", "word",<|endoftext|>The Syrian Flag :⏎color in the Syrian

  3. #3 peak

    Urdu to English Translations. This will improve our English to Urdu Dictionary, Urdu to English dictionary, English to Urdu Idioms translation and Urdu to English Idioms translations. Although we have added

  4. #4 peak

    rates of relative sea level rise. © 2006 Elsevier Ltd. All rights reserved.<|endoftext|>Are you tired of being sick and tired of being sick and tired? Then, get in the driver’s seat on managing your health by

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. L13:260 strongly excites
  2. L11:1353 strongly suppresses end-of-document token after a web snippet
  3. L13:2270 strongly suppresses
  4. L11:70 strongly excites
  5. L14:847 strongly excites
  6. L12:741 strongly excites
  7. L11:48 strongly suppresses
  8. L11:444 strongly excites
  9. L12:583 suppresses
  10. L5:299 excites
  11. L9:1574 suppresses
  12. L12:623 excites
  13. L14:98 excites
  14. L2:69 suppresses
  15. L11:34 excites
  16. L6:866 excites
  17. L12:1215 suppresses
  18. L11:928 suppresses
  19. L6:34 excites
  20. L8:139 suppresses
  21. L14:68 excites
  22. L14:2296 excites
  23. L6:583 excites unclear: mid-word pieces inside names
  24. L11:776 excites

Feeds later layers

  1. L16:192 strongly suppresses
  2. L16:368 strongly suppresses
  3. L16:654 suppresses
  4. L18:942 suppresses
  5. L22:213 suppresses
  6. L19:567 excites
  7. L16:841 excites
  8. L19:77 excites
  9. L18:199 suppresses
  10. L16:766 excites
  11. L16:1052 weakly excites
  12. L26:823 weakly excites
  13. L16:1164 weakly excites
  14. L16:1359 weakly excites
  15. L16:540 weakly suppresses
  16. L27:1120 weakly suppresses
  17. L16:462 weakly excites
  18. L19:839 weakly excites
  19. L16:638 weakly suppresses
  20. L16:776 weakly excites
  21. L16:1032 weakly excites
  22. L16:483 weakly suppresses
  23. L25:1134 weakly suppresses
  24. L19:1095 weakly 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.

4 values between -0.48 and -0.429 values between -0.42 and -0.3722 values between -0.37 and -0.3251 values between -0.32 and -0.2696 values between -0.26 and -0.21145 values between -0.21 and -0.15219 values between -0.15 and -0.10354 values between -0.10 and -0.05552 values between -0.05 and 0.01558 values between 0.01 and 0.06481 values between 0.06 and 0.11388 values between 0.11 and 0.17275 values between 0.17 and 0.22210 values between 0.22 and 0.27143 values between 0.27 and 0.33128 values between 0.33 and 0.3877 values between 0.38 and 0.4359 values between 0.43 and 0.4940 values between 0.49 and 0.5424 values between 0.54 and 0.5918 values between 0.59 and 0.6518 values between 0.65 and 0.702 values between 0.70 and 0.7510 values between 0.75 and 0.818 values between 0.81 and 0.862 values between 0.86 and 0.925 values between 0.92 and 0.971 values between 0.97 and 1.021 values between 1.02 and 1.083 values between 1.24 and 1.292 values between 1.29 and 1.341 values between 1.34 and 1.401 values between 1.56 and 1.611 values between 1.61 and 1.66offnegativepositiveoften

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. exchange
  2. Exchange
  3. exchange
  4. cig
  5. atasets
  6. isas
  7. sheets
  8. Exchange
  9. iloc
  10. cub

Suppresses

  1. ,…⏎⏎
  2. …⏎
  3. …⏎⏎
  4. …⏎⏎
  5. …"
  6. weit
  7. …"⏎⏎
  8. .au
  9. 郯
  10. grou