Neuron Explorer

Qwen3-0.6B

device and platform names, mixed

A neuron in layer 5 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 words naming gadgets or reading platforms, such as Kobo, Nook, Android and Visual Studio, though the pattern is loose. Turning it down made the model list laptops, tablets and phones, and turning it up made it repeat itself.

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

    Tiny Bird download PocketBook on Kobo. PDF ebook Tiny Bird by Robert Burleigh read. MP3 book Tiny Bird Robert Burleigh buy on iPad.⏎FB2 ebook Tiny Bird on IndieBound. EPUB Tiny Bird by Robert Burleigh for

  2. #2 peak

    trust at an optimal level, van Honk said. In future studies, he would like to determine which brain circuits regulate trust through these hormones.⏎Image: flickr/an untrained eye<|endoftext|>From SABR member John Thorn at Our Game on

  3. #3 peak

    Spectrum Disorder, Focus Deficit Disorder, and other disabilities that impact studying, social skills, communication and self-regulation. There are several teachers correct here at Hubpages who love to share their ideas and tactics with their fellow educators.⏎The School Based

  4. #4 peak

    The raw material warehouse is used to store the raw materials used in production. Such<|endoftext|>The Leading eBooks Store Online⏎for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry ...⏎DK Eyewitness Books: Gor

  5. #5 peak

    unable to recreate the solution on a test. For in-depth answers, consider the following resources.⏎Stop By the Tutoring Center⏎Most high

  6. #6 peak

    .<|endoftext|>Using Command Line using Visual C++ 2008⏎- Select Start >> All Programs >> Microsoft Visual C++ 2008 Express Edition >> Visual Studio Tools >> Visual Studio

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: (Windows, 2020, PC). (1, 1, 1, 1, 1)., and the rest of the OS (iOS, Android) with the app. (1, 1,

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

    platform they are targeting, be it iOS or Android, and adapt their coding practices accordingly. They face the challenge of optimizing app performance, ensuring compatibility across multiple devices, and addressing varying screen sizes and resolutions. Additionally, staying up-to-date with

  2. #2 peak

    sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader

  3. #3 peak

    used to downloading data from the Cloud onto mobile devices, most do not know where the data comes from. Digital information is stored in

  4. #4 peak

    the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader

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. L3:139 suppresses
  2. L3:133 suppresses
  3. L4:1019 suppresses
  4. L4:2279 excites
  5. L3:63 weakly excites
  6. L4:1232 weakly excites
  7. L3:857 weakly suppresses
  8. L3:997 weakly excites
  9. L3:1148 weakly suppresses
  10. L1:451 weakly suppresses
  11. L2:221 weakly suppresses
  12. L4:2266 weakly excites
  13. L4:589 weakly suppresses
  14. L2:779 weakly suppresses
  15. L3:2004 weakly excites
  16. L0:1443 weakly excites
  17. L2:3047 weakly suppresses
  18. L0:1389 weakly suppresses
  19. L4:1869 weakly suppresses
  20. L2:1375 weakly suppresses
  21. L4:2655 weakly excites
  22. L0:2162 weakly excites
  23. L3:46 weakly suppresses
  24. L1:2565 weakly suppresses

Feeds later layers

  1. L7:2341 suppresses
  2. L6:886 suppresses
  3. L8:657 suppresses
  4. L23:2528 suppresses
  5. L10:1356 suppresses
  6. L9:1652 weakly excites
  7. L12:2921 weakly excites
  8. L8:1442 weakly suppresses
  9. L8:3021 weakly suppresses
  10. L11:192 weakly suppresses
  11. L20:1546 weakly excites
  12. L16:1507 weakly excites
  13. L11:1716 weakly suppresses
  14. L8:2069 weakly suppresses
  15. L12:2560 weakly suppresses
  16. L10:535 weakly suppresses
  17. L9:567 weakly suppresses
  18. L8:2147 weakly suppresses
  19. L20:2402 weakly excites
  20. L16:560 weakly suppresses
  21. L9:261 weakly suppresses
  22. L21:1330 weakly suppresses
  23. L16:2342 weakly suppresses
  24. L10:3003 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.

1 values between -4.79 and -4.631 values between -4.63 and -4.481 values between -1.54 and -1.381 values between -1.23 and -1.071 values between -0.76 and -0.619 values between -0.61 and -0.4550 values between -0.45 and -0.30470 values between -0.30 and -0.141910 values between -0.14 and 0.021282 values between 0.02 and 0.17164 values between 0.17 and 0.3211 values between 0.32 and 0.483 values between 0.48 and 0.631 values between 0.63 and 0.791 values between 0.94 and 1.102 values between 1.25 and 1.41offnegativepositiveoften

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. field
  2. aylor
  3. elay
  4. TRL
  5. acam
  6. sequence
  7. JSGlobalScope
  8. fl
  9. progress
  10. →field

Suppresses

  1. roid
  2. roids
  3. 疣
  4. phant
  5. (Android
  6. XI
  7. izon
  8. 秋季
  9. stituição
  10. nish