Neuron Explorer

Qwen3-0.6B

"of" in "matter of" phrases

A neuron in layer 19 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 set phrases like "a matter of time" and "a world of". It is negative on "of" in "the type of". Turning it down made the text get stuck repeating "of the ... of the".

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

    depression, and possibly post-traumatic stress disorder. He committed suicide on Sept. 29, 1998.⏎Bulling isn’t a game of “child’s play.” Suicide is becoming a more common result of teen bullying like

  2. #2 peak

    that strength training for muscle growth should use several different exercises per muscle group, the frequency of changing exercises is still a matter of debate. According to the latest recommendations, free-weight exercises involving complex movement patterns should

  3. #3 peak

    only be a matter of time before we got hold of a dead animal - because they are hunted - and

  4. #4 peak

    Divide⏎To die. I'm really scared that mom is going to cross the Great Divide any day now. The doctors are saying that it's only a matter of time.⏎divide by something⏎to perform mathematical division by a particular number. Can

  5. #5 peak

    it were just a matter of gathering new knowledge of distant planets and moons, human space travel would not be needed

  6. #6 peak

    Exploration Corp., a natural gas exploration company looking at ways to reduce its CO2 emissions.⏎Menova president Dave Gerwing says Trident knew it was only a matter of time before the federal government began imposing penalties on CO<|endoftext|>Multilateral Trade Negotiations

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: of the of the of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of

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

    also connecting to the gums and jawbone. If something happens to any of the layers of the tooth, the body can feel repercussions from the damage.⏎The type of issues an endodontist treats⏎A professional endodontist is a dentist who

  2. #2 peak

    through the water. A propeller determines the speed and the direction of the craft. A propeller contributes immensely to the functioning of the watercraft.⏎The type of the propeller is determined by the number of blades and the material that makes up

  3. #3 peak

    or deep? Explain the type of plate boundary it was near. Why are earthquakes common to this area?⏎Where was

  4. #4 peak

    to seek professional care from a specialist. A general dentist will not have the experience or tools to treat serious damage, where an endodontist does.⏎The type of issues an endodontist treats⏎While minor issues such as plaque buildup or even

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. L16:1088 weakly excites 'of' after a noun phrase, as in 'of course'
  2. L18:821 weakly excites
  3. L7:2063 weakly suppresses
  4. L6:357 weakly suppresses
  5. L1:968 weakly suppresses
  6. L7:821 weakly excites
  7. L18:735 weakly excites
  8. L12:1020 weakly excites
  9. L13:2580 weakly suppresses
  10. L18:2364 weakly excites
  11. L6:368 weakly excites
  12. L17:317 weakly excites 'of' after a noun phrase
  13. L8:1955 weakly suppresses
  14. L5:363 weakly excites
  15. L17:1458 weakly suppresses
  16. L17:952 weakly suppresses
  17. L15:2775 weakly excites
  18. L14:836 weakly suppresses
  19. L14:849 weakly excites
  20. L9:359 weakly suppresses
  21. L17:527 weakly excites
  22. L2:2369 weakly excites
  23. L4:1489 weakly excites
  24. L10:3016 weakly suppresses

Feeds later layers

  1. L20:2599 suppresses
  2. L22:2882 suppresses
  3. L21:1401 weakly excites prepositions opening a phrase ('after', 'on')
  4. L20:1712 weakly suppresses
  5. L21:323 weakly suppresses
  6. L24:299 weakly suppresses
  7. L20:2093 weakly suppresses
  8. L20:679 weakly suppresses
  9. L26:711 weakly suppresses 'years' after an age number
  10. L21:732 weakly suppresses
  11. L23:258 weakly suppresses
  12. L20:337 weakly excites
  13. L23:355 weakly suppresses
  14. L20:318 weakly suppresses
  15. L25:2203 weakly suppresses
  16. L21:1609 weakly suppresses
  17. L22:322 weakly suppresses
  18. L20:2247 weakly suppresses
  19. L26:510 weakly suppresses
  20. L26:920 weakly suppresses
  21. L21:674 weakly suppresses comma after 'if you liked this article'
  22. L21:1018 weakly suppresses
  23. L20:353 weakly excites
  24. L22:811 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 -26.72 and -25.671 values between -25.67 and -24.622 values between -19.39 and -18.341 values between -15.20 and -14.152 values between -14.15 and -13.101 values between -13.10 and -12.061 values between -11.01 and -9.961 values between -8.92 and -7.872 values between -7.87 and -6.825 values between -6.82 and -5.773 values between -5.77 and -4.7312 values between -4.73 and -3.6820 values between -3.68 and -2.6349 values between -2.63 and -1.58188 values between -1.58 and -0.543114 values between -0.54 and 0.51360 values between 0.51 and 1.5686 values between 1.56 and 2.6129 values between 2.61 and 3.6512 values between 3.65 and 4.707 values between 4.70 and 5.753 values between 5.75 and 6.792 values between 6.79 and 7.841 values between 7.84 and 8.891 values between 8.89 and 9.942 values between 9.94 and 10.981 values between 10.98 and 12.031 values between 14.13 and 15.17offnegativepositiveoften

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. ematics
  2. ec
  3. ages
  4. inations
  5. 津
  6. ugged
  7. erek
  8. agination
  9. ugs
  10. enames

Suppresses

  1. 之旅
  2. bac
  3. submission
  4. viol
  5. ofs
  6. нибудь
  7. WithValue
  8. ña
  9. )[-
  10. _suite