Neuron Explorer

Qwen3-0.6B

"to" after "proved" or "proves"

A neuron in layer 7 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

The neuron fires on the word "to" right after "proved" or "proves", as in "proved to be". It is one of the most consistent patterns here. Turning it up or down did not make the model write anything about proving things, so the steering gave no clear sign.

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

    Wiliam’s falling off with his wealthy maternal uncles and going to his elder brother Edward to become a tradesman like him. Edward, however, proves to be a cynical and tyrant master and Wiliam is soon obliged to leave

  2. #2 peak

    hold it by hand all based on what part of the room one would like to listen to and get the acoustic image from. The 40 cm camera proved to be very handy in a measurement situation where it was not given beforehand exactly where the

  3. #3 peak

    do things they enjoy,<|endoftext|>86 is conjectured to be the largest power of 2 not containing a zero. This simply stated conjecture has proven itself to be proof-resistant. Let us see why.⏎What is the probability that the nth

  4. #4 peak

    low, it was very difficult to detect any real change in sound pressure level from different measurement positions. Also trying to locate the origin by hearing in different positions proved to be futile when trying to determine source position. In addition to hearing the noise in

  5. #5 peak

    end of the war.⏎Before World War I⏎Even before World War I⏎, the German military was already looking forward to replacing the heavy machine guns which proved to be such a success in that war. The MG13⏎was one of

  6. #6 peak

    “inside” lots were sold as high as $1000.00. Within four months, these men<|endoftext|>Our discourse by now may have proved to the reader that the⏎British Empire is not as mythical as the propaganda would have

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 have to do with the following: "The following is a description of the following: This is a detailed description of the following: The following is a question for the student to answer: [The following] and [the following] and

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

    2012 June 23⏎Explanation: As seen from Frösön island in northern Sweden the Sun did set a day

  2. #2 peak

    m2 = 10-19barn). It is estimated neutrino cross-section for interaction increases linearly with energy of incident neutrino.⏎Reference: Griffiths, David, Introduction to Elementary Particles, Wiley, 19

  3. #3 peak

    questions you need to know. I have her whole file and know her well.” As the conversation progresses,

  4. #4 peak

    er.2008 May 27⏎Credit: Phoenix, HiRISE, NASA, JPL-Caltech, Univ. Arizona⏎Explanation: The Phoenix lander's footpads are about the size of a dinner plate

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. L5:2603 weakly excites
  2. L1:1295 weakly suppresses
  3. L6:1840 weakly excites
  4. L6:867 weakly suppresses
  5. L6:2552 weakly suppresses
  6. L5:2324 weakly excites
  7. L6:2387 weakly excites
  8. L1:1109 weakly suppresses
  9. L6:431 weakly excites
  10. L1:2116 weakly suppresses
  11. L4:2590 weakly excites
  12. L3:1918 weakly suppresses
  13. L5:1638 weakly suppresses
  14. L2:2771 weakly suppresses
  15. L4:2283 weakly suppresses
  16. L5:1900 weakly excites
  17. L6:762 weakly excites
  18. L4:1248 weakly suppresses
  19. L1:152 weakly suppresses
  20. L5:2598 weakly suppresses
  21. L5:2179 weakly excites "the" after "one of"
  22. L5:956 weakly suppresses
  23. L6:2856 weakly suppresses
  24. L6:564 weakly excites

Feeds later layers

  1. L8:403 excites
  2. L15:1982 weakly excites end-of-text token and answer-stating phrases
  3. L8:355 weakly suppresses
  4. L15:400 weakly excites
  5. L8:2730 weakly suppresses
  6. L17:1863 weakly suppresses
  7. L25:489 weakly excites
  8. L19:1938 weakly excites
  9. L27:1352 weakly excites
  10. L10:2793 weakly excites
  11. L12:2362 weakly suppresses
  12. L16:1057 weakly excites
  13. L16:1712 weakly suppresses
  14. L9:2008 weakly suppresses
  15. L8:2514 weakly excites
  16. L17:2408 weakly suppresses
  17. L15:1588 weakly excites
  18. L11:2727 weakly excites
  19. L22:1970 weakly suppresses
  20. L14:752 weakly excites
  21. L13:1366 weakly excites
  22. L8:934 weakly suppresses
  23. L13:348 weakly excites
  24. L10:282 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.

5 values between -0.55 and -0.506 values between -0.50 and -0.4517 values between -0.45 and -0.3929 values between -0.39 and -0.3467 values between -0.34 and -0.29113 values between -0.29 and -0.24185 values between -0.24 and -0.19275 values between -0.19 and -0.14388 values between -0.14 and -0.09501 values between -0.09 and -0.03690 values between -0.03 and 0.02560 values between 0.02 and 0.07403 values between 0.07 and 0.12287 values between 0.12 and 0.17167 values between 0.17 and 0.2292 values between 0.22 and 0.2867 values between 0.28 and 0.3324 values between 0.33 and 0.3812 values between 0.38 and 0.435 values between 0.43 and 0.483 values between 0.48 and 0.532 values between 0.58 and 0.642 values between 0.64 and 0.691 values between 0.84 and 0.891 values between 0.89 and 0.941 values between 0.94 and 1.001 values between 1.00 and 1.052 values between 1.05 and 1.101 values between 1.25 and 1.311 values between 1.46 and 1.51offnegativepositiveoften

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. rost
  2. ços
  3. agements
  4. (play
  5. AVOR
  6. orage
  7. Result
  8. unfavorable
  9. phiên
  10. 说是

Suppresses

  1. ativity
  2. asia
  3. arse
  4. wording
  5. ABCDE
  6. ensi
  7. asin
  8. 万户
  9. 发言人
  10. apixel