Neuron Explorer

Qwen3-0.6B

'can' or 'could' before 'be found/read'

A neuron in layer 22 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' (or 'could') when it sits between a noun and 'be' in a sentence like 'the full text can be read here'. Turned up, the model fell into repeating 'you can be' over and over, so the pattern shows up in the output too.

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

    -ethnic neighbourhoods in England, by Dr Gemma Catney, Professor Richard Wright, and Professor Mark Ellis. The original article, posted in Geography Directions, can be accessed here. You can also read the full article published in Transactions of the

  2. #2 peak

    and communities with combined sewer systems. Additionally, this bill will establish a Green Infrastructure Program housed within the EPA's Office of Water. The full text of this bill can be read here. Participate in the Surfrider's action alert and send

  3. #3 peak

    that he would eliminate most U. S. cabinet departments, including those overseeing commerce, education, energy, and labor (some of this material and references for it can be found in my An Age

  4. #4 peak

    As the sound rumbled away, behind it could be heard again the strange and awesome tones. Like the voice of a giant.⏎

  5. #5 peak

    December 8th, 1941, Congress voted to bring the United States into World War II.⏎A recording of FDR’s address to Congress can be heard as you enter the “Florida Remembers World War II” exhibit,

  6. #6 peak

    32 as the difference in pressure between Ponta Delgada on the Azores and Stykkisholmur in Iceland. More information on the NAO can be found here. See also Arctic

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: that the world is not as it seems, and that the world is very like a square square square. That's like the squares in the square square square, and that it's a square square square of the world's square square. I

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

    Lab by Ka Fung Tjin, Erqian Wang and Yifan Zhang and directed by A. J. Hildebrand.)⏎Open content licensed under CC BY-NC-SA⏎Given an integer , the exponential sum version of the Gauss

  2. #2 peak

    in Washington, D. C. (Image via Zach Montellaro on Flickr, CC BY-NC-SA 2.0)⏎The two Supreme Court cases, Jones

  3. #3 peak

    Images, a source for forest health, natural resources and silviculture images operated by The Bugwood Network at the University of Georgia and the USDA Forest Service., CC BY 3.

  4. #4 peak

    all the texts on this journal belong to the respective authors without restrictions.⏎This journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License (full legal code).⏎See also our Open Access Policy.

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. L21:2151 excites
  2. L18:2988 suppresses
  3. L19:943 excites
  4. L17:1964 excites
  5. L20:1381 suppresses
  6. L15:2752 suppresses
  7. L19:2560 excites
  8. L21:1591 weakly suppresses
  9. L18:2547 weakly suppresses
  10. L20:858 weakly excites
  11. L4:1088 weakly suppresses
  12. L13:2845 weakly suppresses
  13. L7:364 weakly suppresses
  14. L12:2183 weakly excites
  15. L17:2077 weakly excites
  16. L5:322 weakly excites
  17. L21:1948 weakly excites
  18. L16:1560 weakly suppresses
  19. L9:270 weakly excites
  20. L11:426 weakly excites
  21. L8:24 weakly suppresses
  22. L1:1176 weakly excites
  23. L21:1022 weakly suppresses
  24. L9:768 weakly suppresses

Feeds later layers

  1. L24:766 strongly excites
  2. L27:774 strongly excites
  3. L24:789 strongly excites
  4. L23:1193 excites
  5. L27:1592 suppresses
  6. L27:1815 excites
  7. L27:1699 excites
  8. L25:757 excites
  9. L23:739 excites
  10. L26:2879 suppresses
  11. L24:1814 suppresses
  12. L26:1401 weakly excites
  13. L24:1225 weakly excites
  14. L23:634 weakly suppresses
  15. L23:103 weakly suppresses
  16. L25:1775 weakly suppresses
  17. L25:1821 weakly excites
  18. L23:2058 weakly excites
  19. L25:2270 weakly excites
  20. L24:1105 weakly suppresses
  21. L27:2857 weakly excites
  22. L27:2940 weakly excites
  23. L26:2795 weakly suppresses
  24. L26:2100 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.

3 values between -4.75 and -4.303 values between -4.30 and -3.861 values between -3.86 and -3.412 values between -2.96 and -2.521 values between -2.52 and -2.071 values between -2.07 and -1.6325 values between -1.63 and -1.18229 values between -1.18 and -0.74967 values between -0.74 and -0.291959 values between -0.29 and 0.15593 values between 0.15 and 0.6061 values between 0.60 and 1.0419 values between 1.04 and 1.4910 values between 1.49 and 1.948 values between 1.94 and 2.389 values between 2.38 and 2.831 values between 2.83 and 3.276 values between 3.27 and 3.722 values between 3.72 and 4.163 values between 4.16 and 4.611 values between 4.61 and 5.051 values between 6.84 and 7.281 values between 8.17 and 8.621 values between 9.06 and 9.511 values between 12.63 and 13.07offnegativepositiveoften

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. can
  2. 可以
  3. can
  4. 可
  5. 可以在
  6. Can
  7. Can
  8. .can
  9. (can
  10. →can

Suppresses

  1. ughter
  2. imps
  3. ->{$
  4. formats
  5. mailto
  6. яс
  7. -tags
  8. ester
  9. ][$
  10. $info