Neuron Explorer

Qwen3-0.6B

'the' after 'in' or 'use'

A neuron in layer 19 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

The neuron reacts to the word 'the' when it comes right after a preposition or verb such as 'in' or 'using', as in 'in the series' or 'use the module'. It is mostly quiet on other words. Turning it up or down changed the story's topic without a clear pattern.

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

    information on Pilates in physical therapy and sports therapy click here.<|endoftext|>This course in the APHLIS series on postharvest loss measurements introduces you to the creation and

  2. #2 peak

    mathematical problems when compared to those who focus on memorizing solutions. Problems like limit solving<|endoftext|>How to dissolve polygons spatially in GRASS GIS⏎You can use the v.dissolve module to

  3. #3 peak

    switch to that directory.⏎If you wish to place the drive image in a specific folder, then navigate to it now. We’ll just place our drive image in the

  4. #4 peak

    Scientific American Mind is a series of short video primers on the brain and how we feel, think and act. Below is a synopsis of the first video in the series written by a guest on this blog, Roni Jacobson, a science

  5. #5 peak

    Approach 1: Unzip Using the .tar Utility⏎The most common method of decompressing a file on Linux

  6. #6 peak

    researchers examined two major international apparel brands, Nike and Adidas, to determine the paths taken to reach corporate sustainability. Saheli Goswami, a doctoral student in the MU College of Human Environmental Sciences, says that while both companies are currently models of

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: the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the

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

    IS) Manager by right clicking your server in Server Manager. You can add a website by right-clicking the Sites node in the tree and selecting Add Website. In the Add Website dialog box, you can enter a friendly name for your website.⏎

  2. #2 peak

    /or remedies mentioned in this article. Yarrow is one of the oldest medicinal herbs, dating back thousands of years and used for various ailments. It’s a member of the aster family, along with chamomile and chrysanthemums;

  3. #3 peak

    communication. The Recall option isn’t available for a communication displayed in the Reading Pane.⏎- Now from the Message tab, elect Conduct> Recall This Communication.⏎- In the Recall This Message dialog box, select one of the below options Cancel or Replace

  4. #4 peak

    means that the files are stored in a compressed format.⏎For Python Implementation⏎You can use OpenCV to manipulate the images.⏎pip3 install opencv-python numpy⏎Open

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. L18:2637 suppresses
  2. L17:1858 excites
  3. L14:1015 suppresses
  4. L18:1770 excites
  5. L18:848 suppresses
  6. L18:3028 suppresses
  7. L18:1894 excites
  8. L18:1790 suppresses
  9. L17:2480 suppresses
  10. L18:1664 suppresses
  11. L17:2565 weakly suppresses
  12. L17:418 weakly suppresses
  13. L11:1981 weakly suppresses
  14. L12:2235 weakly excites
  15. L13:2634 weakly excites
  16. L14:1219 weakly suppresses
  17. L18:3000 weakly suppresses
  18. L16:2839 weakly excites
  19. L18:1602 weakly suppresses
  20. L3:2972 weakly excites word endings in multi-token nouns
  21. L17:2036 weakly suppresses
  22. L18:2622 weakly suppresses
  23. L13:1006 weakly suppresses
  24. L17:250 weakly excites

Feeds later layers

  1. L20:769 strongly excites
  2. L20:955 excites
  3. L20:1112 excites
  4. L20:331 suppresses
  5. L21:336 excites
  6. L21:324 excites
  7. L20:439 excites
  8. L20:2025 suppresses
  9. L20:1406 excites
  10. L20:872 excites
  11. L20:1001 excites
  12. L20:375 suppresses
  13. L20:1195 excites
  14. L27:399 suppresses
  15. L26:507 suppresses
  16. L21:863 suppresses
  17. L21:404 excites
  18. L20:738 suppresses
  19. L20:1131 excites
  20. L23:348 excites
  21. L27:127 excites
  22. L21:457 excites
  23. L20:1677 excites
  24. L21:653 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 -3.61 and -3.251 values between -2.16 and -1.8023 values between -1.80 and -1.4446 values between -1.44 and -1.0876 values between -1.08 and -0.72174 values between -0.72 and -0.36801 values between -0.36 and 0.011547 values between 0.01 and 0.37880 values between 0.37 and 0.73260 values between 0.73 and 1.0953 values between 1.09 and 1.4518 values between 1.45 and 1.826 values between 1.82 and 2.184 values between 2.18 and 2.543 values between 2.54 and 2.903 values between 2.90 and 3.262 values between 3.26 and 3.621 values between 3.62 and 3.992 values between 3.99 and 4.351 values between 4.35 and 4.711 values between 5.07 and 5.431 values between 5.43 and 5.802 values between 7.24 and 7.601 values between 8.69 and 9.051 values between 10.50 and 10.86offnegativepositiveoften

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. `
  2. “
  3. ven
  4. `_
  5. “
  6. тер
  7. viz
  8. "
  9. gamma
  10. Between

Suppresses

  1. (QtCore
  2. уча
  3. ainer
  4. ług
  5. ój
  6. cá
  7. ','%
  8. Nokia
  9. 祧
  10. alink