Neuron Explorer

Qwen3-0.6B

'find' and 'found' after 'until' or 'if'

A neuron in layer 23 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron fires on words that come right after a search or condition, like 'until you', 'is found', 'not found' or 'no citations found'. Turning it up made the model repeat the word 'found' over and over.

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

    for your prefered location. Keep trying until you find the particular bulb that you like. If you do find the new bulb to

  2. #2 peak

    If a DataTable name exists that matches the case of the search string, it is returned. Otherwise a case-insensitive search is performed, and if a DataTable name is found that matches this search, it is returned.⏎Use the Contains method to determine

  3. #3 peak

    . Historically, the rash is mostly a problem for dogs and other small mammals. Very little data exists for treating the mites in humans. I was unable to confirm any data for the

  4. #4 peak

    from the list or when it is typed in to the search box. The word that is typed in the search textbox is searched through the list. If it is found, the word will be selected in the list and its translation will

  5. #5 peak

    analyzed.⏎sizet is an unsigned integral type.⏎A pointer to the first occurrence of value in the block of memory pointed by ptr.⏎If the value is not found, the function returns a null pointer.⏎In C, this function is only

  6. #6 peak

    the instructions and requirements of your assignment.⏎Obviously, a good topic is an essential part of a good essay. Therefore, you need to consider many topics, until you pick the one that meets your area of expertise and interests. You may write a

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: the way of a river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river

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

    are surrounded by an inert gas. A cross-section of these cases can be seen in the “Public Vaults,” along with a special documentary about the re-encasement process.⏎This brochure is made possible by the National Archives Foundation with the generous

  2. #2 peak

    epidemic did come it mowed down thousands. The plague of 1348 was so inappeasable that it is said grave-diggers could hardly be found to bury the dead

  3. #3 peak

    . When your mouth hurts from ill-fitting dentures or from wearing them continually, the discomfort you feel in your gums can make the thought of chewing food unappealing.⏎Additionally, certain health

  4. #4 peak

    that program in memory, we can better understand the difference between a program and a process. Although these two terms are often interchanged or even misused in “casual” conversation, the difference

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. L21:2758 weakly excites
  2. L20:62 weakly suppresses
  3. L22:2543 weakly excites
  4. L18:3068 weakly suppresses
  5. L21:2752 weakly suppresses
  6. L18:2988 weakly suppresses
  7. L0:941 weakly suppresses
  8. L20:592 weakly excites
  9. L2:2885 weakly suppresses
  10. L21:1889 weakly excites
  11. L20:53 weakly excites
  12. L20:243 weakly excites
  13. L22:942 weakly excites
  14. L21:2415 weakly suppresses
  15. L0:41 weakly excites
  16. L11:611 weakly excites
  17. L6:2088 weakly suppresses
  18. L15:2135 weakly excites
  19. L0:230 weakly suppresses
  20. L21:1619 weakly suppresses
  21. L16:2133 weakly suppresses
  22. L18:2814 weakly excites
  23. L11:696 weakly suppresses
  24. L15:2589 weakly suppresses

Feeds later layers

  1. L27:1284 strongly excites
  2. L26:1422 excites
  3. L25:2811 excites
  4. L27:2444 excites
  5. L24:1884 weakly excites
  6. L24:3071 weakly suppresses
  7. L25:928 weakly excites
  8. L25:781 weakly excites
  9. L27:2730 weakly excites
  10. L24:1879 weakly excites
  11. L27:1532 weakly excites
  12. L25:1328 weakly excites
  13. L24:2721 weakly excites
  14. L24:2152 weakly excites
  15. L26:2203 weakly excites
  16. L26:739 weakly suppresses
  17. L24:2792 weakly suppresses
  18. L25:644 weakly excites
  19. L27:2060 weakly excites
  20. L25:951 weakly excites
  21. L24:654 weakly suppresses
  22. L25:1763 weakly excites
  23. L25:2622 weakly excites
  24. L25:258 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.

2 values between -14.08 and -13.382 values between -9.20 and -8.502 values between -5.71 and -5.016 values between -5.01 and -4.314 values between -4.31 and -3.616 values between -3.61 and -2.9210 values between -2.92 and -2.2215 values between -2.22 and -1.5251 values between -1.52 and -0.82757 values between -0.82 and -0.132622 values between -0.13 and 0.57372 values between 0.57 and 1.2725 values between 1.27 and 1.978 values between 1.97 and 2.677 values between 2.67 and 3.363 values between 3.36 and 4.062 values between 4.06 and 4.764 values between 4.76 and 5.462 values between 6.85 and 7.551 values between 7.55 and 8.251 values between 8.25 and 8.951 values between 8.95 and 9.643 values between 11.04 and 11.741 values between 12.43 and 13.131 values between 13.13 and 13.83offnegativepositiveoften

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. found
  2. find
  3. find
  4. found
  5. finding
  6. 找到
  7. finds
  8. (found
  9. (find
  10. Find

Suppresses

  1. mare
  2. Stick
  3. .getWindow
  4. osos
  5. osas
  6. CompleteListener
  7. thew
  8. ross
  9. spreading
  10. してきた