Neuron Explorer

Qwen3-0.6B

'of' after a definition or noun

A neuron in layer 13 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 small connecting words like 'of' or 'on' that come right after a noun such as 'definition', 'mechanism' or 'interpretations', where a explanation is about to follow. It is quiet on those words inside journal or organisation names. Turning it up gave text about the question of something, but the effect was loose.

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

    hydraulic engineering and transportation. Now it is used in constructing and maintaining the channel and port, land reclamation, environmental protection and submarine mining.⏎According to the definition of the

  2. #2 peak

    to create a meaningful picture of its environment in his mind. Perception is how a person sees the world around him. Aspects of Perception As described by the definition of perception, there are three

  3. #3 peak

    12 deficiency, chronic alcoholism, tumors or infections in the brain, or blood clots in the brain can cause memory loss or possibly dementia (see more on dementia, below). Some thyroid, kidney, or liver disorders also can lead to

  4. #4 peak

    If this chronology is correct, then she embellished and maybe fabricated her account of how it all happened.⏎“There’s another, different version of the chronology in

  5. #5 peak

    To provide you with more information so that you may better understand whiplash injuries and how they should be treated, we need to discuss in more detail the mechanism of how such injuries occur.⏎Check out our article on the phases of whiplash

  6. #6 peak

    Differentiate between www and internet.⏎problem 10: What do you mean by Usenet? List out main categories of it?⏎problem 11: Define an OS. Describe in brief any two OSs.⏎problem 12:

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 am an online platform for people with a program to be a country in the country (the country) that is the country where the person is the country, the person is the country, the country is the person is the country the person

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

    was in a decompression chamber .<|endoftext|>Fluoride in Drinking Water: A Scientific Review of EPA's Standards (2006)Board on Environmental Science and Toxicology⏎Each report is produced by a committee of experts selected

  2. #2 peak

    E., Brown, S., & Ekman, S.L. (2002). Caregiver singing and background music in dementia care. Western Journal of Nursing Research, 24(2), 195-21

  3. #3 peak

    genetics. Importantly, these efforts are already sparking new actions that will help benefit individuals with autism, and their families, in the years to come.⏎April is World Autism Awareness Month, and three years ago this week, OHSU and more

  4. #4 peak

    for Rare Disorders⏎Canadian AIDS Society⏎CORD—Canadian Organization for Rare Disorders⏎NINDS progressive multifocal leukoencephalopathy information page. National Institute of Neurological Disorders and Stroke website. Available at http://www.ninds.nih

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. L12:1984 strongly suppresses
  2. L12:1423 strongly suppresses
  3. L9:998 suppresses
  4. L12:1053 suppresses
  5. L12:1612 suppresses
  6. L10:2617 suppresses
  7. L8:1871 suppresses
  8. L12:477 excites
  9. L6:2785 excites
  10. L12:2737 excites
  11. L8:2292 excites "of" or "for" after minister or ministry titles
  12. L12:1116 suppresses 'of' in formal noun phrases, mixed
  13. L11:1246 excites
  14. L9:2462 suppresses
  15. L12:1518 suppresses
  16. L8:620 excites
  17. L8:1955 suppresses
  18. L9:188 suppresses 'of' in 'National Institute of' names
  19. L9:29 excites opening parenthesis before an acronym
  20. L12:1531 excites
  21. L11:1324 excites
  22. L11:416 suppresses
  23. L9:73 excites
  24. L11:1392 excites 'of' in fixed technical phrases

Feeds later layers

  1. L16:1855 suppresses
  2. L15:1735 suppresses
  3. L16:229 suppresses
  4. L14:2275 suppresses
  5. L14:1737 suppresses
  6. L14:672 suppresses
  7. L14:453 excites
  8. L15:1589 suppresses
  9. L15:395 suppresses
  10. L14:1037 suppresses
  11. L14:677 excites
  12. L15:435 excites
  13. L14:491 excites
  14. L15:632 suppresses
  15. L16:434 suppresses
  16. L18:188 suppresses
  17. L14:539 suppresses
  18. L16:340 suppresses
  19. L15:827 excites
  20. L16:2715 suppresses
  21. L16:1086 suppresses
  22. L15:42 suppresses
  23. L16:302 suppresses
  24. L17:375 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 -3.96 and -3.801 values between -3.65 and -3.491 values between -2.72 and -2.561 values between -2.56 and -2.412 values between -2.25 and -2.101 values between -2.10 and -1.941 values between -1.94 and -1.792 values between -1.79 and -1.633 values between -1.63 and -1.487 values between -1.32 and -1.177 values between -1.17 and -1.0113 values between -1.01 and -0.8615 values between -0.86 and -0.7015 values between -0.70 and -0.5541 values between -0.55 and -0.39103 values between -0.39 and -0.24461 values between -0.24 and -0.081782 values between -0.08 and 0.07913 values between 0.07 and 0.23392 values between 0.23 and 0.38102 values between 0.38 and 0.5424 values between 0.54 and 0.697 values between 0.69 and 0.857 values between 0.85 and 1.002 values between 1.00 and 1.152 values between 1.15 and 1.312 values between 2.08 and 2.24offnegativepositiveoften

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. isecond
  2. yers
  3. ifes
  4. uti
  5. ions
  6. IONS
  7. чу
  8. ション
  9. |M
  10. 以色

Suppresses

  1. 这时候
  2. 这个时候
  3. tracts
  4. степ
  5. lf
  6. AuthService
  7. endencies
  8. 陆
  9. 也是一个
  10. 也比较