Neuron Explorer

Qwen3-0.6B

'of' inside institution names

A neuron in layer 9 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 reacts to the word 'of' in names of organisations and titles, like 'Annals of Internal Medicine' or 'Ministry of Culture'. Turning it up made the model drift into unrelated, rambling text.

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

    in children (from allergic rh<|endoftext|>The study was carried out by researcher Rosa Binimelis of the UAB Institute of Environmental Science and Technology. Binimelis is working on the European project AL

  2. #2 peak

    every state. The findings are published in Annals of Internal Medicine.⏎Researchers from the University of Washington studied death records and Census data to

  3. #3 peak

    women aged 40 to 49.⏎It said the risks outweigh the small potential benefit in younger women, but a new study in the "Annals of Internal Medicine"

  4. #4 peak

    strategy 2014-2020, the Ministry of Infrastructure, Transports and Networks, the National Telecommunications and Post Commission and the Ministry of Education co-la<|endoftext|>Student or Learner⏎Brass: the persons (or

  5. #5 peak

    couture can be used to describe any garment that's handmade and one-of-a-kind, haute couture is a special designation created and approved by the French Ministry of Industry.⏎Nowadays, it is very easy to find information on any subject.

  6. #6 peak

    large number of local manifestations of the element are inscribed on the National List of Intangible Cultural Heritage administered by the Department of Intangible Cultural Heritage of the Ministry of Culture.⏎These videos (and many more) can also be consulted through the UNESCO

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 don't know what I am doing in the world of the movie industry." This is the first sentence of the dialogue between the characters in "The World of the Movies," the first sentence of the dialogue between the characters in "The

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

    ; let’s say we want to see what has changed between Commit 1 and Commit 3.⏎The diff will compare the differences between the two commits, showing what

  2. #2 peak

    North Pacific Gyre.⏎Twice the size of Texas – though some scientists have argued that its mass has extended to twice the

  3. #3 peak

    University of Hamburg in Germany, in collaboration with colleagues from the University of Aarhus in Denmark, have synthesized a new superconducting material by growing

  4. #4 peak

    and trade in services.⏎Content and Structure⏎The course consists of the following modules:⏎• Module I – The Concept of Trade Negotiations: An Overview⏎• Module II – General Introduction to WTO Negotiations⏎• Module III – Multilateral Trade

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. L8:1009 suppresses
  2. L8:283 suppresses
  3. L8:320 excites
  4. L8:350 suppresses blank space before a year
  5. L6:351 excites
  6. L8:1544 excites
  7. L8:298 weakly suppresses
  8. L5:2835 weakly suppresses
  9. L4:1374 weakly suppresses
  10. L8:134 weakly excites
  11. L8:928 weakly suppresses
  12. L8:455 weakly suppresses
  13. L8:668 weakly suppresses
  14. L8:421 weakly excites
  15. L8:187 weakly suppresses
  16. L8:272 weakly excites
  17. L6:345 weakly excites
  18. L5:1372 weakly suppresses
  19. L8:99 weakly suppresses
  20. L1:1484 weakly suppresses
  21. L7:2046 weakly suppresses
  22. L8:1101 weakly suppresses
  23. L5:2869 weakly excites
  24. L7:805 weakly suppresses

Feeds later layers

  1. L11:264 excites
  2. L10:959 suppresses
  3. L15:487 weakly suppresses
  4. L10:152 weakly excites
  5. L12:2033 weakly excites
  6. L11:2393 weakly excites
  7. L16:1402 weakly suppresses
  8. L11:341 weakly excites
  9. L16:2280 weakly excites
  10. L23:510 weakly excites
  11. L10:217 weakly excites
  12. L19:1141 weakly excites
  13. L16:1635 weakly excites
  14. L24:1098 weakly excites
  15. L11:1381 weakly excites
  16. L12:795 weakly excites
  17. L17:163 weakly suppresses
  18. L18:2835 weakly excites first piece of a split name or term
  19. L18:2078 weakly excites
  20. L15:1601 weakly excites
  21. L12:129 weakly excites unclear: mixed, mostly everyday health and advice prose
  22. L11:219 weakly excites
  23. L10:452 weakly excites
  24. L24:2767 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 -2.08 and -1.992 values between -1.66 and -1.582 values between -1.49 and -1.412 values between -1.41 and -1.331 values between -1.33 and -1.243 values between -1.24 and -1.161 values between -1.16 and -1.083 values between -1.08 and -0.991 values between -0.99 and -0.915 values between -0.91 and -0.838 values between -0.74 and -0.6610 values between -0.66 and -0.585 values between -0.58 and -0.4920 values between -0.49 and -0.4132 values between -0.41 and -0.3358 values between -0.33 and -0.24136 values between -0.24 and -0.16342 values between -0.16 and -0.08986 values between -0.08 and 0.01852 values between 0.01 and 0.09615 values between 0.09 and 0.17370 values between 0.17 and 0.26228 values between 0.26 and 0.34128 values between 0.34 and 0.4244 values between 0.42 and 0.5124 values between 0.51 and 0.5915 values between 0.59 and 0.676 values between 0.67 and 0.762 values between 0.76 and 0.843 values between 0.84 and 0.921 values between 0.92 and 1.012 values between 1.17 and 1.26offnegativepositiveoften

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. cle
  2. orro
  3. -FIRST
  4. are
  5. ь
  6. atr
  7. 卡拉
  8. hart
  9. ча
  10. arra

Suppresses

  1. intage
  2. relent
  3. 粱
  4. links
  5. phasis
  6. iasi
  7. missive
  8. 甑
  9. redit
  10. Genetics