Neuron Explorer

Qwen3-0.6B

word pieces inside names

A neuron in layer 4 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron fires on the middle pieces of names split into several parts, such as the "gen" in Röntgen or the "ux" in Benelux. The steering results did not show a clear theme.

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

    but the 8th November actually marks 115 years since the X-Ray was first invented. The honor goes to German physics professor Wilhelm Röntgen who discovered the use of an X-Ray way back in 1895

  2. #2 peak

    . However, Humberto may later regenerate into a tropical cyclone as it moves over warmer water and away from the wind shear.⏎The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard NASA’s Aqua satellite captured this true-color image of

  3. #3 peak

    Antalya-Türkiye’de doğdu. Lisans öğrenimini MSÜ Den

  4. #4 peak

    , in recent years, to constitutional amendments granting these regions formal recognition and autonomy.⏎In 1948 Belgium became a co-signatory to the Benelux Customs Union along with the Netherlands and Luxembourg. This later became the Benelux

  5. #5 peak

    to display her beauty to the people and the nobles, for she was lovely to look at.⏎As the story continues, pride creeps in.⏎Xerxes wanted to show off his beautiful wife! But it seems as though he didn’t

  6. #6 peak

    without the patient actually being cut open!⏎The discovery of x-rays was a happy accident. A physics professor named Wilhelm Roentgen was testing whether cathode rays could pass through glass and observed a mysterious light that

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 can't be in the future, I can be the future. It's about how I can be the future. It's not about how I can be the future, but it's about how I can be in the future. I

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

    our du.⏎- Our du is 5 -- let me circle that and let me do that in that blue color --⏎- is 5 cosine of 5x dx. So we can rewrite this entire expression as --⏎

  2. #2 peak

    you look over here, we don't have quite du there. We have just cosine of 5x dx--⏎- sorry, I need cosine of 5x dx, just like that. So when you look over here,⏎- you have

  3. #3 peak

    the commands you give and the M-file are somewhat disparate. The process is illustrated using a single, simple differential equation:⏎Integrate this equation from t = 0 to t = 1. The exact solution can be found by

  4. #4 peak

    let's think about whether u-substitution might be appropriate. Your first temptation might to said,⏎- "Hey, maybe we let u equal sine of 5x, and if u is equal to sine of 5x,⏎- we have

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. L3:421 suppresses
  2. L2:49 weakly suppresses
  3. L3:3004 weakly excites
  4. L3:342 weakly excites
  5. L3:1726 weakly excites
  6. L2:988 weakly excites
  7. L2:1526 weakly suppresses
  8. L2:931 weakly excites
  9. L3:1605 weakly suppresses
  10. L3:314 weakly excites
  11. L2:1602 weakly excites
  12. L1:1997 weakly suppresses
  13. L0:1242 weakly excites
  14. L2:954 weakly excites
  15. L3:3053 weakly suppresses
  16. L0:2857 weakly suppresses
  17. L0:2176 weakly excites
  18. L1:2049 weakly excites
  19. L3:2523 weakly suppresses
  20. L0:2233 weakly suppresses
  21. L2:2328 weakly suppresses
  22. L3:91 weakly excites
  23. L2:2208 weakly excites
  24. L1:144 weakly excites "of" after abstract nouns like birth

Feeds later layers

  1. L9:893 suppresses
  2. L7:2602 suppresses
  3. L6:494 suppresses
  4. L7:1594 weakly suppresses
  5. L11:1175 weakly excites
  6. L23:1533 weakly excites
  7. L12:2612 weakly excites
  8. L6:2988 weakly excites
  9. L24:1810 weakly suppresses
  10. L14:287 weakly excites
  11. L8:819 weakly suppresses
  12. L20:1913 weakly suppresses
  13. L5:939 weakly excites
  14. L12:85 weakly suppresses
  15. L22:2847 weakly excites
  16. L6:29 weakly suppresses
  17. L10:1485 weakly suppresses
  18. L20:1807 weakly excites
  19. L10:2002 weakly suppresses
  20. L26:842 weakly suppresses
  21. L24:1534 weakly suppresses
  22. L6:2638 weakly suppresses
  23. L14:2428 weakly excites
  24. L6:3044 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.

2 values between -0.54 and -0.473 values between -0.47 and -0.419 values between -0.41 and -0.3434 values between -0.34 and -0.28100 values between -0.28 and -0.22225 values between -0.22 and -0.15459 values between -0.15 and -0.09811 values between -0.09 and -0.021004 values between -0.02 and 0.04655 values between 0.04 and 0.11362 values between 0.11 and 0.17143 values between 0.17 and 0.2466 values between 0.24 and 0.3019 values between 0.30 and 0.3710 values between 0.37 and 0.431 values between 0.43 and 0.501 values between 0.50 and 0.561 values between 0.56 and 0.631 values between 1.34 and 1.401 values between 1.46 and 1.531 values between 1.98 and 2.05offnegativepositiveoften

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. �试
  2. throat
  3. AdapterFactory
  4. SWG
  5. ่น
  6. rooms
  7. BED
  8. consequential
  9. 篷
  10. adoras

Suppresses

  1. othy
  2. ãi
  3. etz
  4. ily
  5. "$
  6. 社会
  7. udu
  8. 的社会
  9. (DataType
  10. socially