Neuron Explorer

Qwen3-0.6B

unclear: 'of' after a noun

A neuron in layer 3 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 mostly reacts to the word "of" that follows a noun, like "side effect of" or "source of", but it also goes strongly negative on "of" in similar spots, so the pattern is hard to pin down. Turning it up did not produce a clear theme.

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

    ophagus; (2) clavicular, frequently merging into a single interclavicular sac; (3) anterior thoracic, on the abdominal wall of the thorax; and (4) posterior thoracic, on the dorsal side

  2. #2 peak

    lenses to direct and concentrate sunlight onto a solar cell of smaller area. Most concentrator arrays must directly face or track the sun. They can increase the power flux of sunlight hundreds of times.⏎Conductor — The material through which electricity is transmitted,

  3. #3 peak

    . Dizziness is also a common side effect of certain prescription drugs.⏎Dizziness in people with bleeding disorders can be especially dangerous,

  4. #4 peak

    . The discrete model of exponential growth is ; where the first term is , and is the common ratio. The continuous model is .⏎1. Find the common ratio of each geometric sequence.⏎

  5. #5 peak

    on its histology by investigators. Extraovarian primary peritoneal carcinoma (EOPPC), serous surface papillary carcinoma, papillary serous carcinoma of the peritoneum, extra ovarian Mullerian adenocarcinoma,

  6. #6 peak

    , strawberry and chocolate Neapolitan ice cream of your childhood. The actual flavors of the neutrinos come from their association with other

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: this is a new website. You are a content creator. This is a partner. This is a social media account. This is a marketing email. This is a web developer. This is a web designer. This is a web architect.

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

    ⏎Intentional fitness - Use of functional equipment⏎Teacher role modeling of all lessons⏎Core curriculum content integration⏎Physical

  2. #2 peak

    Turbojet and turbofan are jet engines. Some aircraft, notably gliders, do not have an engine. To take off they must have another source of thrust - that is, the tow-plane which pulls them into the air.⏎Within

  3. #3 peak

    1N4007 PN junction diodes and a filter capacitor of 2.2uF/450V.⏎This<|endoftext|>Warning: Use of undefined constant user_level - assumed 'user_level' (this will throw an Error

  4. #4 peak

    check for cavities, and plenty of education for the family on cavity prevention.⏎This includes information about diet and nutrition, use of fluoridated toothpaste, and preventing bacteria that cause cavities passing from parent

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. L1:679 weakly suppresses
  2. L0:2301 weakly excites
  3. L2:449 weakly suppresses
  4. L1:725 weakly suppresses "to" in "referred to"
  5. L0:537 weakly excites the 'or' in 'and/or'
  6. L2:658 weakly suppresses
  7. L0:1249 weakly suppresses
  8. L1:441 weakly excites
  9. L2:2491 weakly suppresses
  10. L2:1011 weakly suppresses
  11. L2:995 weakly suppresses
  12. L1:172 weakly excites
  13. L2:745 weakly suppresses
  14. L2:1566 weakly excites
  15. L1:2648 weakly excites
  16. L0:131 weakly suppresses
  17. L0:2730 weakly suppresses
  18. L2:1205 weakly suppresses
  19. L1:1757 weakly suppresses
  20. L0:1336 weakly excites
  21. L2:2014 weakly excites
  22. L2:904 weakly excites
  23. L1:1233 weakly excites
  24. L1:1125 weakly suppresses

Feeds later layers

  1. L4:4 weakly suppresses
  2. L10:1833 weakly excites
  3. L9:2875 weakly suppresses
  4. L7:2390 weakly excites
  5. L15:1653 weakly suppresses
  6. L22:2216 weakly excites
  7. L25:2607 weakly suppresses
  8. L9:2610 weakly suppresses
  9. L12:1170 weakly excites
  10. L5:913 weakly suppresses
  11. L5:129 weakly suppresses
  12. L7:1243 weakly suppresses
  13. L13:2041 weakly excites
  14. L5:2687 weakly excites
  15. L13:695 weakly suppresses
  16. L11:1182 weakly excites
  17. L21:314 weakly suppresses
  18. L13:1727 weakly excites
  19. L13:1996 weakly excites
  20. L6:1124 weakly suppresses
  21. L19:1975 weakly excites
  22. L4:1966 weakly excites
  23. L20:1347 weakly excites
  24. L18:1636 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 -4.47 and -4.251 values between -3.62 and -3.412 values between -3.19 and -2.982 values between -2.98 and -2.771 values between -2.77 and -2.562 values between -2.56 and -2.351 values between -2.35 and -2.142 values between -2.14 and -1.923 values between -1.92 and -1.717 values between -1.71 and -1.504 values between -1.50 and -1.295 values between -1.29 and -1.085 values between -1.08 and -0.8611 values between -0.86 and -0.6516 values between -0.65 and -0.44124 values between -0.44 and -0.231473 values between -0.23 and -0.021987 values between -0.02 and 0.20204 values between 0.20 and 0.4122 values between 0.41 and 0.6214 values between 0.62 and 0.838 values between 0.83 and 1.042 values between 1.04 and 1.254 values between 1.25 and 1.471 values between 1.47 and 1.682 values between 1.68 and 1.891 values between 2.31 and 2.531 values between 2.53 and 2.742 values between 3.80 and 4.01offnegativepositiveoften

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. atory
  2. dest
  3. ents
  4. ^
  5. et
  6. ians
  7. set
  8. ßen
  9. distant
  10. ovel

Suppresses

  1. 监事
  2. 웍
  3. alary
  4. ницы
  5. 诱惑
  6. зрения
  7. tics
  8. Hosting
  9. 商业化
  10. шка