Neuron Explorer

Qwen3-0.6B

line break inside wrapped text

A neuron in layer 15 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 a line break that splits a sentence in the middle, the kind found in emails, forum replies and text that was wrapped to a fixed width. Turning it down made the model produce list-like lines, and turning it up gave loose, repetitive prose.

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

    22:12:37, Russ Abbott wrote:⏎> Cool. I wasn't aware of that notation. It doesn't quite get to the⏎> issue though.⏎> The problem I'm concerned about is the need to define

  2. #2 peak

    , and there may be nothing about var11 . var1 $ x that⏎> changed, etc. Yet one is apparently forced to keep track of and⏎> reconstruct all those elements.⏎The compiler takes care of that.⏎> Another example

  3. #3 peak

    set in motion,<|endoftext|>The Edgar Cayce health information is a rich source of research hypotheses⏎with regard to anatomy, physiology, pathology, and therapy. This⏎section contains a variety of research hypotheses waiting to be pursued.⏎If you have expertise

  4. #4 peak

    http://en.wikipedia.org/wiki/Analysis_of_algorithms)⏎> 1 get a positive integer from input⏎> 2 if n> 10⏎> 3 print "This might take a while..."⏎> 4 for i =

  5. #5 peak

    is a moveable point on the hypotenuse, and P and Q are the feet⏎of the perpendiculars from X to the sides of a right angled⏎triangle. What position of X makes the length of PQ a minimum?⏎The circum

  6. #6 peak

    early through its center; by Mad and White Rivers; and by Lake Champlain,⏎which affords it many navigable privileges. The soil is good, particularly⏎in those towns below the mountains, and bordering the lake<|endoftext|>“ The L

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: 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1)

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

    times of several years. The total energy radiated in a superburst is 1042 erg. Superbursts<|endoftext|>Kang, T-J. (2018) Online learning in North Korea The Diplomat, May

  2. #2 peak

    conuts and banana leaves<|endoftext|>const void * memchr ( const void * ptr, int value, size_t num );⏎void * memchr ( void * ptr,

  3. #3 peak

    Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.⏎The copyright and license notices on this

  4. #4 peak

    0.1016/j.jbusres.2013.10.001⏎BERISHA-NAMANI, M. (2013). Information technology, internet, and marketing. International Journal of

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. L14:56 suppresses document ends and list line breaks
  2. L13:826 suppresses
  3. L11:313 weakly excites
  4. L6:1038 weakly excites
  5. L14:67 weakly suppresses
  6. L3:377 weakly suppresses
  7. L12:438 weakly excites
  8. L12:2168 weakly excites
  9. L14:907 weakly suppresses
  10. L6:351 weakly excites
  11. L1:1803 weakly suppresses
  12. L1:982 weakly excites
  13. L1:242 weakly excites
  14. L11:2647 weakly suppresses
  15. L9:1158 weakly suppresses
  16. L14:287 weakly suppresses
  17. L4:19 weakly suppresses
  18. L10:708 weakly suppresses
  19. L9:2997 weakly excites
  20. L8:1687 weakly excites
  21. L9:437 weakly suppresses
  22. L4:97 weakly suppresses
  23. L5:238 weakly excites
  24. L3:1149 weakly excites

Feeds later layers

  1. L16:2583 suppresses
  2. L26:757 suppresses
  3. L22:377 suppresses
  4. L20:268 suppresses
  5. L25:533 suppresses first letter m or oct fragments
  6. L16:442 excites
  7. L26:758 suppresses
  8. L16:795 suppresses
  9. L16:317 suppresses
  10. L18:795 weakly suppresses
  11. L27:947 weakly suppresses
  12. L26:749 weakly suppresses
  13. L17:2260 weakly suppresses
  14. L21:1164 weakly suppresses
  15. L24:1619 weakly suppresses
  16. L20:210 weakly suppresses
  17. L25:542 weakly suppresses
  18. L18:572 weakly suppresses
  19. L19:1069 weakly excites
  20. L20:720 weakly suppresses
  21. L25:673 weakly suppresses
  22. L23:337 weakly suppresses
  23. L27:1681 weakly suppresses
  24. L19:558 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.

7 values between -0.49 and -0.4223 values between -0.42 and -0.3657 values between -0.36 and -0.30128 values between -0.30 and -0.24212 values between -0.24 and -0.18342 values between -0.18 and -0.12480 values between -0.12 and -0.06667 values between -0.06 and 0.00612 values between 0.00 and 0.06496 values between 0.06 and 0.12400 values between 0.12 and 0.18242 values between 0.18 and 0.24127 values between 0.24 and 0.3158 values between 0.31 and 0.3730 values between 0.37 and 0.4318 values between 0.43 and 0.494 values between 0.49 and 0.551 values between 0.55 and 0.611 values between 0.61 and 0.671 values between 0.73 and 0.791 values between 1.64 and 1.701 values between 1.88 and 1.94offnegativepositiveoften

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. arding
  2. anas
  3. ями
  4. Islanders
  5. concentrating
  6. 籽
  7. sl
  8. ids
  9. ��
  10. 一字

Suppresses

  1. ,⏎
  2. ,⏎
  3. [],⏎
  4. ::⏎
  5. ,⏎
  6. (⏎
  7. ipherals
  8. gres
  9. relude
  10. ::⏎