Neuron Explorer

Qwen3-0.6B

'of' after a quantity or noun phrase

A neuron in layer 22 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 like 'one', 'all', 'women' or 'table', and a phrase like 'of' is expected next. When it was turned up, the model got stuck repeating the word 'of' over and over.

Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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

    for wandering astronauts, he adds, but there would be time to return to a shielded base.⏎To continue reading this article, subscribe to receive access to all of newscientist.com, including 20 years of archive content.<|endoftext|>Fly

  2. #2 peak

    by University of Minnesota students. You can see all of the details involved in making it in the video below.<|endoftext|>Create a Graph⏎Library Home || Full Table of Contents || Suggest a Link || Library Help⏎|National Center for Education Statistics

  3. #3 peak

    interviews conducted by researchers "blinded" to the status of the co-twin in an epidemiologic sample of 1030 female-female twin pairs of known zygosity from the population-based Virginia Twin

  4. #4 peak

    ernando Orthopaedic provides expert fracture care, with X-ray services available at our office. Contact us today to schedule an appointment.<|endoftext|>Welcome to the one of the most precious hidden jewels of Montenegro⏎First on this site more than

  5. #5 peak

    Achievement Gap⏎Each year more than 10,000 youth in Minnesota disengage from school, and Minnesota’s academic achievement gap has grown to one of the largest in the nation.⏎Have you considered leaving school? Are you currently dis

  6. #6 peak

    A few studies of human populations have suggested that fluoride might be associated with alterations in reproductive hormones, fertility, and Down's syndrome, but their design limitations make them of little value for risk evaluation⏎- Assessing whether fluoride constitutes a risk factor for

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: when I was a college student, I was in a life and death situation that involved many people. I was one person who had a life and death life, and I was helped by other people. But when I came to this life,

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

    Eating Habits and Patterns⏎When you take a minute to think about what you’re eating, how you’re eating, and why you’re eating before you actually do it, your brain becomes

  2. #2 peak

    , drinking, and premarital sex, compared to people who do not have an account or seldom visits it.<|endoftext|>Nenana River Gorge

  3. #3 peak

    cheese with a string-like texture similar to mozzarella), mild to hot chilies, epazote (herb with a pungent flavor similar to a strong anise, fennel, or tarragon), sautéed

  4. #4 peak

    this emphasizes the importance of taking care of your physical and mental health through college and beyond.⏎Here are some pointers to get you on the right track.⏎If you do not work out much, college is a great time to form this habit as it

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. L20:2800 strongly excites
  2. L21:1718 strongly excites
  3. L21:460 strongly suppresses
  4. L19:2507 strongly suppresses
  5. L20:1356 strongly excites
  6. L21:2802 strongly excites 'of' inside set phrases like 'course of'
  7. L21:2966 strongly suppresses
  8. L21:2749 strongly suppresses
  9. L19:2622 strongly excites
  10. L20:2599 strongly suppresses
  11. L20:2860 strongly excites
  12. L21:2783 strongly excites
  13. L21:866 strongly suppresses
  14. L8:202 strongly suppresses
  15. L17:1771 strongly excites
  16. L20:1917 strongly excites
  17. L20:2949 suppresses
  18. L18:2467 suppresses
  19. L18:1954 suppresses
  20. L20:2962 suppresses "of" in "most X of all" superlatives
  21. L18:2808 excites
  22. L16:961 excites
  23. L18:759 excites
  24. L20:55 suppresses

Feeds later layers

  1. L26:711 strongly excites 'years' after an age number
  2. L23:567 strongly excites
  3. L27:447 strongly excites
  4. L25:2020 strongly excites
  5. L23:258 strongly excites
  6. L26:920 strongly excites
  7. L26:115 strongly suppresses
  8. L26:279 strongly suppresses
  9. L27:658 strongly excites
  10. L24:860 strongly excites
  11. L24:2753 suppresses
  12. L25:18 suppresses
  13. L23:2665 excites
  14. L25:2883 excites
  15. L24:1558 excites
  16. L26:309 suppresses
  17. L23:1014 weakly suppresses
  18. L26:1320 weakly excites
  19. L25:1206 weakly suppresses
  20. L27:1582 weakly suppresses
  21. L27:1905 weakly excites
  22. L26:54 weakly excites
  23. L24:2464 weakly suppresses
  24. L23:2087 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.

1 values between -13.08 and -12.313 values between -11.55 and -10.785 values between -10.78 and -10.027 values between -10.02 and -9.258 values between -9.25 and -8.4922 values between -8.49 and -7.7232 values between -7.72 and -6.9648 values between -6.96 and -6.2057 values between -6.20 and -5.43111 values between -5.43 and -4.67145 values between -4.67 and -3.90166 values between -3.90 and -3.14247 values between -3.14 and -2.37307 values between -2.37 and -1.61376 values between -1.61 and -0.84615 values between -0.84 and -0.081073 values between -0.08 and 0.69257 values between 0.69 and 1.45139 values between 1.45 and 2.2291 values between 2.22 and 2.9853 values between 2.98 and 3.7546 values between 3.75 and 4.5122 values between 4.51 and 5.2817 values between 5.28 and 6.0418 values between 6.04 and 6.8110 values between 6.81 and 7.575 values between 7.57 and 8.344 values between 8.34 and 9.106 values between 9.10 and 9.874 values between 9.87 and 10.632 values between 10.63 and 11.402 values between 11.40 and 12.163 values between 12.16 and 12.931 values between 12.93 and 13.693 values between 15.22 and 15.992 values between 16.75 and 17.52offnegativepositiveoften

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. of
  2. _of
  3. of
  4. Of
  5. Of
  6. →of
  7. của
  8. -of
  9. _Of
  10. _OF

Suppresses

  1. isel
  2. огда
  3. eci
  4. UNICATION
  5. 又被
  6. elia
  7. związ
  8. 就是一个
  9. çi
  10. 那就是