Neuron Explorer

Qwen3-0.6B

"can" after a noun in a clause

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 fires on the word "can" when it follows a noun or pronoun inside a clause, as in "things you can do" or "those that can grow". Turning it up did not produce a clear change in the writing, so the effect is hard to see.

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

    Abandoned Places in the World article.⏎Are you interested in visiting places that have been abandoned? Or is it too creepy? Have you been to any that you can add to the list? Please share below!<|endoftext|>How to tell if lines

  2. #2 peak

    on has a rating of 4, and Malawai has a rating of 1.3.⏎Working individually, take five minutes to briefly write down what you can surmise from the map, addressing these questions:⏎- What patterns do you see

  3. #3 peak

    antibiotic. The antibiotic knocks out cells which do not have the resistant marker. Those bacterial colonies that can grow have successfully taken up and expressed the introduced genetic material.⏎An alternative to a

  4. #4 peak

    is even off the table for those with insufficient literacy skills. 75% of 17-24 year olds in this country can’t meet minimum requirements for military service3.⏎Inability to find employment has long

  5. #5 peak

    our kids sense of identity, and very importantly, increases their ability to stand up to peer pressure. According to his studies, those children and teenagers that can effectively argue with parents are 40% more likely to say “no”

  6. #6 peak

    suffered a traumatic brain injury, and is now cared for by her family, 24 hours a day 7 days a week. Hannah wears a diaper, can’t feed herself, talk, or walk. The driver responsible sentenced Hannah to life

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 would like to be more careful about the way I would like to treat the people I am trying to be careful about my intention. I would like to be more cautious when I was trying to the people I was trying to be cautious 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

    sum of money to support them and they both are euqally friendless in the town of Brussels. Will chance once again intervene? Will life<|endoftext|>You can help keep your heart and blood vessels healthy by taking steps toward a healthier lifestyle. These

  2. #2 peak

    …[Read more]<|endoftext|>To actually reduce pounds in a healthier manner, it is perfect to burn fat gradually. And incredibly, most professionals consent which you can accomplish by using a diet regime. As opposed to a extreme life-style change, the

  3. #3 peak

    is perfect, implying that the signatures have been guillotine – trimmed on all four edges, it cannot be rebounded in the traditional way. This is because a perfect binding eliminates the folded edge of

  4. #4 peak

    out your supplies, and follow the rebinding process in this chapter.⏎Inspect your book; whether it is a hardback or paperback, it can easily be rebounded if its signatures are folded and sewn. However, if the binding

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. L4:173 strongly suppresses
  2. L18:1491 strongly suppresses
  3. L17:953 strongly excites the word 'can' after a subject
  4. L3:978 suppresses
  5. L10:384 excites
  6. L0:1372 suppresses
  7. L7:2857 excites
  8. L6:170 excites
  9. L4:1316 suppresses
  10. L3:2961 suppresses
  11. L2:2386 suppresses
  12. L18:569 excites
  13. L4:904 excites
  14. L17:2000 suppresses
  15. L0:2699 suppresses
  16. L9:1475 suppresses
  17. L9:2453 excites
  18. L16:129 weakly excites
  19. L13:2339 weakly excites
  20. L17:2470 weakly excites
  21. L0:1778 weakly excites
  22. L17:1755 weakly suppresses
  23. L16:53 weakly excites
  24. L16:51 weakly excites

Feeds later layers

  1. L20:2487 excites
  2. L24:2814 excites the modal 'can' after 'there' or 'it'
  3. L21:2007 excites
  4. L24:766 suppresses
  5. L22:1892 excites the digit 6 in years 19xx
  6. L22:1422 suppresses
  7. L23:833 excites
  8. L23:2058 suppresses
  9. L22:277 excites
  10. L24:789 suppresses
  11. L22:697 excites
  12. L21:2203 excites
  13. L27:774 suppresses
  14. L23:2161 excites
  15. L21:1943 suppresses
  16. L22:2322 excites
  17. L22:1487 weakly excites
  18. L22:2543 weakly excites
  19. L20:1629 weakly suppresses
  20. L20:1606 weakly excites
  21. L21:2524 weakly suppresses
  22. L20:2003 weakly excites
  23. L23:1277 weakly excites
  24. L21:2554 weakly 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.

79 values between -2.35 and -1.302697 values between -1.30 and -0.241051 values between -0.24 and 0.8220 values between 0.82 and 1.879 values between 1.87 and 2.937 values between 2.93 and 3.986 values between 3.98 and 5.042 values between 5.04 and 6.095 values between 6.09 and 7.152 values between 7.15 and 8.212 values between 8.21 and 9.262 values between 9.26 and 10.323 values between 10.32 and 11.372 values between 12.43 and 13.482 values between 14.54 and 15.603 values between 15.60 and 16.651 values between 16.65 and 17.711 values between 17.71 and 18.762 values between 20.87 and 21.931 values between 22.98 and 24.042 values between 24.04 and 25.101 values between 25.10 and 26.153 values between 26.15 and 27.211 values between 27.21 and 28.261 values between 29.32 and 30.371 values between 30.37 and 31.431 values between 32.49 and 33.541 values between 38.82 and 39.88offnegativepositiveoften

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. afford
  2. \xb
  3. 't
  4. Easily
  5. 夠
  6. opies
  7. tered
  8. lev
  9. adians
  10. easily

Suppresses

  1. 能够
  2. 能在
  3. 可以
  4. 能夠
  5. 可以用
  6. 它可以
  7. NotAllowed
  8. 能
  9. aku
  10. 可用