Neuron Explorer

Qwen3-0.6B

'of' after a noun in titles

A neuron in layer 10 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 word 'of' when it follows a noun in a title or description, such as 'Anatomy of' or 'study of'. The effect is weak, and turning it up did not produce a clear change in the model's writing.

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

    that changes how the⏎cd command works. Normally when you try and cd⏎into a directory, it will only try and change to the path specified from the current directory

  2. #2 peak

    or less). Thus began the era of dancing babies and other horrors best forgotten<|endoftext|>PROTEOMICS is the study of many proteins at once- or a description of proteins in a cell, tissue or cellular organelle on a global scale.⏎

  3. #3 peak

    , the dry ice temperature of -78 C is well below its flash point at <|endoftext|>Henry Gray (18251861). Anatomy of the Human

  4. #4 peak

    father brings with him.⏎After sharing the story your child might like to plant some beans like Azzi does and watch them grow or make spicy beans⏎The Colour of Home⏎Mary Hoffman, illus. Karin Littlewood⏎Hassan

  5. #5 peak

    a child knows letters of the alphabet and their sounds. Children learn letters when they look at their names and other children’s names during Welcome.⏎- Meaning and use of print is when a child knows that writing has meaning. Corps members and children write

  6. #6 peak

    stated Sarah Korona, EVA flight controller at NASA’s Johnson Area Middle in Houston. “EVA” stands for extravehicular exercise.⏎The anatomy of a spacesuit⏎A spacesuit is made up of practically a half dozen completely

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 know, you know, I can't do this, but you know, I can't do this. So what about, you know, if I have to get people to the place where they can get jobs, but they are

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

    analysis, we rely on the inflation “heat map” shown below, which uses color coding similar to that of weather maps to distinguish the items with the most significant increases or decreases in inflation from

  2. #2 peak

    625 a year (based on 12,000 miles of driving per year and $3.79 a gallon, nationwide average as of 5/19/2

  3. #3 peak

    , it is generally best not to amend the soil used to fill a planting hole. Fill around the root ball of the tree or shrub with the same soil that was dug out of the planting hole.⏎It also is not recommended to dig the

  4. #4 peak

    do something about drift, we invented the an air monitoring system we call the "Drift Catcher." It's affordable, robust and based on the same technology used by the California Air Resources Board in its studies.⏎The big idea? Put

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. L8:706 suppresses
  2. L8:851 excites
  3. L9:52 weakly excites
  4. L6:37 weakly suppresses
  5. L8:937 weakly excites
  6. L8:1003 weakly suppresses "the" or "of" before a noun phrase
  7. L9:84 weakly suppresses
  8. L7:8 weakly excites
  9. L9:1280 weakly excites
  10. L8:455 weakly suppresses
  11. L8:964 weakly excites
  12. L1:898 weakly suppresses
  13. L9:330 weakly suppresses gap where a number was removed
  14. L3:2277 weakly excites
  15. L1:2786 weakly excites
  16. L9:97 weakly excites
  17. L6:10 weakly excites
  18. L3:471 weakly excites
  19. L9:2587 weakly excites
  20. L8:190 weakly suppresses
  21. L9:865 weakly suppresses
  22. L2:1590 weakly suppresses
  23. L6:982 weakly suppresses
  24. L2:625 weakly suppresses

Feeds later layers

  1. L16:826 weakly excites
  2. L15:508 weakly suppresses
  3. L12:2257 weakly suppresses
  4. L12:1760 weakly excites
  5. L18:1189 weakly excites
  6. L13:925 weakly suppresses
  7. L15:1817 weakly suppresses
  8. L13:1494 weakly excites
  9. L14:306 weakly excites
  10. L19:865 weakly suppresses
  11. L14:2381 weakly excites
  12. L19:1796 weakly suppresses
  13. L15:210 weakly excites
  14. L17:820 weakly excites
  15. L12:1467 weakly excites numbers after dates and figures
  16. L20:962 weakly suppresses decimal points and dots in numbers
  17. L12:37 weakly excites
  18. L21:1010 weakly excites
  19. L11:94 weakly suppresses
  20. L18:193 weakly suppresses
  21. L26:1017 weakly excites
  22. L11:2492 weakly excites
  23. L19:1036 weakly excites
  24. L20:852 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 -2.29 and -2.192 values between -2.19 and -2.092 values between -2.09 and -1.983 values between -1.68 and -1.581 values between -1.58 and -1.471 values between -1.47 and -1.375 values between -1.37 and -1.273 values between -1.27 and -1.177 values between -1.17 and -1.075 values between -1.07 and -0.9614 values between -0.96 and -0.868 values between -0.86 and -0.7616 values between -0.76 and -0.6622 values between -0.66 and -0.5533 values between -0.55 and -0.4560 values between -0.45 and -0.35114 values between -0.35 and -0.25275 values between -0.25 and -0.15715 values between -0.15 and -0.041452 values between -0.04 and 0.06481 values between 0.06 and 0.16259 values between 0.16 and 0.26131 values between 0.26 and 0.37106 values between 0.37 and 0.4759 values between 0.47 and 0.5737 values between 0.57 and 0.6726 values between 0.67 and 0.7724 values between 0.77 and 0.8814 values between 0.88 and 0.987 values between 0.98 and 1.0811 values between 1.08 and 1.182 values between 1.18 and 1.294 values between 1.29 and 1.393 values between 1.39 and 1.492 values between 1.49 and 1.591 values between 1.59 and 1.692 values between 1.69 and 1.80offnegativepositiveoften

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. mdir
  2. リング
  3. mp
  4. calar
  5. ames
  6. arma
  7. mlin
  8. 一件
  9. 砧
  10. dur

Suppresses

  1. scious
  2. ibu
  3. enza
  4. who
  5. ently
  6. owała
  7. 天下
  8. incumbent
  9. дви
  10. ONLY