Neuron Explorer

Qwen3-0.6B

"of" after process or action nouns

A neuron in layer 6 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 lights up on "of" when it follows a noun about an action or process, such as "production of", "copy of" or "destruction of". It mostly ignores the word that comes after. Turning it up or down changed the topics the model wrote about but did not show a clear shared theme.

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

    so. Animators spend years studying eye movements to help them create characters with a range of believable expressions, but the eyes of robots and interactive toys are far more difficult to manipulate than those of cartoon characters.⏎

  2. #2 peak

    , engines, or generators to control and adjust production of biofuels or biomass-fueled power.⏎- Operate equipment to start

  3. #3 peak

    work at height; hazardous substances (COSHH); manual handling; noise; vibration and lead.⏎On construction projects, this may relate not only to the construction of the works, but also to temporary works and to the operation, maintenance, cleaning

  4. #4 peak

    / base, oxidant / reducer etc ...) depending on the conditions in which are found in temperature, humidity, and pH, being able to reach levels of destruction of up to 70%.⏎The transit of nutrients through the digestive tract due

  5. #5 peak

    1649. They are considered the progenitors of the modern Ukrainian nation and Ukrainian nationalist discourse appeals, to a large extent, to the Cossacks.⏎In 1670, the Don Cossack Stenka

  6. #6 peak

    copies are made at least four different ways when accessing the Internet. One way copies are made is by simply viewing a page on the Internet. This causes a copy of that page to be made and stored in the Random Access Memory (RAM) 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: system. This is a question: question bank. This is a database search structure query language. Each: relationship schema: model theory. This is a database: query language. These: model theory. This is: logic. This: model

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

    8, many activities have been adapted for students ranging from first grade to high school.⏎Number Of Pages:⏎- ID: 97808735525

  2. #2 peak

    Reader: A Developmental Approach to Reading Instruction (3rd Edition)⏎|Author||Michael P. O'Donnell, Margo Wood|⏎|Number Of Pages||408|⏎Write a review⏎Note: HTML is not translated!⏎

  3. #3 peak

    |The Physical Object|⏎|Number of Pages||136|⏎Learn why the Common Core is important for your child.

  4. #4 peak

    common to see creatures drawn with far too many limbs.⏎There are a couple of theories behind this. Some suggest that this was simply because the artists had no means of erasing the limbs, leaving their mistakes on the walls for posterity. Others

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. L5:2594 strongly excites
  2. L4:2320 excites
  3. L3:638 excites
  4. L2:188 excites
  5. L5:1788 excites
  6. L4:575 suppresses
  7. L1:467 suppresses
  8. L5:111 suppresses unclear: weak mixed activations
  9. L0:120 suppresses
  10. L2:2295 excites
  11. L4:1686 excites
  12. L0:1358 suppresses
  13. L1:322 excites
  14. L4:818 suppresses
  15. L2:966 suppresses
  16. L3:591 suppresses
  17. L4:1488 excites
  18. L3:19 suppresses
  19. L4:615 excites
  20. L5:7 excites
  21. L2:1533 excites
  22. L4:157 excites
  23. L2:295 suppresses
  24. L4:1473 suppresses

Feeds later layers

  1. L10:579 strongly excites
  2. L14:298 strongly excites
  3. L9:152 strongly suppresses
  4. L8:668 strongly suppresses
  5. L16:239 strongly excites
  6. L19:207 strongly excites
  7. L8:928 strongly suppresses
  8. L9:1163 strongly suppresses
  9. L17:390 strongly suppresses
  10. L9:237 suppresses
  11. L18:305 suppresses
  12. L21:68 excites
  13. L7:805 suppresses
  14. L13:432 suppresses first word of a proper name
  15. L10:1317 suppresses
  16. L9:2455 suppresses
  17. L11:810 excites
  18. L10:235 suppresses
  19. L13:1006 suppresses
  20. L15:668 suppresses
  21. L14:2075 suppresses
  22. L18:1321 suppresses
  23. L10:959 excites
  24. L17:510 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.

1 values between -5.95 and -5.741 values between -2.98 and -2.773 values between -2.14 and -1.932 values between -1.93 and -1.712 values between -1.71 and -1.509 values between -1.50 and -1.2914 values between -1.29 and -1.0826 values between -1.08 and -0.8767 values between -0.87 and -0.65162 values between -0.65 and -0.44510 values between -0.44 and -0.231310 values between -0.23 and -0.021300 values between -0.02 and 0.19265 values between 0.19 and 0.41112 values between 0.41 and 0.6253 values between 0.62 and 0.8329 values between 0.83 and 1.0414 values between 1.04 and 1.2513 values between 1.25 and 1.463 values between 1.46 and 1.684 values between 1.68 and 1.893 values between 1.89 and 2.103 values between 2.10 and 2.312 values between 2.31 and 2.52offnegativepositiveoften

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. practiced
  2. predicted
  3. predicted
  4. conserve
  5. polluted
  6. practicing
  7. UNK
  8. present
  9. deprecated
  10. physically

Suppresses

  1. 条件
  2. 状态
  3. 位
  4. 관계
  5. 状态下
  6. 沱
  7. -envelope
  8. TForm
  9. stell
  10. 情况