Neuron Explorer

Qwen3-0.6B

line breaks in lists and wrapped text

A neuron in layer 8 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 line-break characters placed in the middle of a sentence or list item, often where the text was wrapped or split oddly. Turning it up made the model write with a line break after almost every word, which looks broken.

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

    and⏎African American History -⏎This website is for African American Artists and an on-line portal⏎for both African America Artists and African American History. The website⏎contains 1000's of links and 100's of

  2. #2 peak

    get the⏎"gist" of the message.⏎The Internet Acronym Server⏎This site can be used to look up the meaning of an acronym (abbreviations⏎constructed from the first letters of several words, such as ADA for⏎American Dental

  3. #3 peak

    York,⏎Delaware, North Carolina, Tennessee, Arkansas, South Dakota, Nebraska,⏎Kansas, Texas, New Mexico, Montana, Alaska, and California; Canada=⏎Manitoba, Alberta, British Columbia; Mexico; Brazil; Poland; Denmark

  4. #4 peak

    Cattle truck and the Sheep⏎truck change places and the Engine is back on the main line?⏎In how many ways can you fit two of these yellow triangles⏎together? Can you predict the number of ways two blue triangles can⏎be

  5. #5 peak

    the picture?⏎10 space travellers are waiting to board their spaceships. There⏎are two rows of seats in the waiting room. Using the rules, where⏎are they all sitting? Can you find all the possible ways?⏎What is the

  6. #6 peak

    ⏎diff output format⏎to represent changes in directory structure, and extending⏎to understand these extensions.⏎Some files are neither directories nor regular files: they are unusual⏎files like symbolic links, device special files, named pipes, and⏎

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 need to use this website to find the best price. So, if the equation is - (1/2)(4 - 2/2) - 1/3, what is the answer? How do I solve this problem

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

    Dhoti Ceremony. This is a momentous day in the Telugu⏎family's calendar, which they call "Panchalu," and they celebrate it⏎in a magnificent manner with their close friends and relatives.⏎Q2. What is

  2. #2 peak

    but main⏎branches absent; dichotomous branching throughout. Axils rounded, with sides⏎symmetrically developed, with side branches at times growing almost⏎horizontally for 1 - 5 mm before bending up or curling downward

  3. #3 peak

    two or more servers do not interfere⏎with each other. Usually NFS file locking is handled by the⏎lockd daemon, but at the moment there is no⏎platform that performs locking 100% reliably in every situation.⏎With this

  4. #4 peak

    also describes key elements of the Java API⏎library, such as I/O, the Collections Framework, the concurrency⏎utilities, the stream library, networking, event⏎handling, AWT, and more. Three chapters provide a solid introduction⏎to

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. L6:1038 excites
  2. L4:105 excites
  3. L6:574 suppresses
  4. L7:239 excites
  5. L4:337 excites
  6. L6:2586 excites
  7. L2:772 suppresses
  8. L4:114 excites
  9. L6:1374 suppresses
  10. L6:2863 excites
  11. L0:1403 weakly suppresses
  12. L6:463 weakly excites
  13. L7:2925 weakly suppresses
  14. L3:428 weakly excites
  15. L7:133 weakly suppresses line break inside a sentence
  16. L6:1306 weakly excites
  17. L4:1044 weakly excites
  18. L5:2459 weakly suppresses
  19. L2:1847 weakly excites
  20. L2:228 weakly suppresses
  21. L2:1884 weakly suppresses
  22. L0:345 weakly excites
  23. L5:1978 weakly excites
  24. L3:1622 weakly suppresses

Feeds later layers

  1. L9:808 strongly suppresses
  2. L10:230 excites
  3. L16:795 suppresses
  4. L17:1242 suppresses
  5. L16:2348 suppresses line break after a section heading
  6. L12:1012 suppresses
  7. L15:643 excites
  8. L14:2751 suppresses
  9. L10:102 suppresses
  10. L17:910 weakly suppresses
  11. L18:3067 weakly excites
  12. L15:985 weakly suppresses line breaks inside wrapped text
  13. L16:3055 weakly suppresses
  14. L23:2850 weakly excites
  15. L17:1564 weakly suppresses
  16. L11:2923 weakly suppresses
  17. L24:2113 weakly excites
  18. L16:1198 weakly excites word pieces inside all-caps headlines
  19. L10:2199 weakly excites
  20. L16:995 weakly suppresses
  21. L13:1951 weakly excites
  22. L18:2558 weakly suppresses
  23. L19:1777 weakly suppresses
  24. L10:2315 weakly suppresses line break inside wrapped text

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.

1 values between -8.10 and -7.892 values between -1.46 and -1.243 values between -1.03 and -0.818 values between -0.81 and -0.6010 values between -0.60 and -0.3886 values between -0.38 and -0.172265 values between -0.17 and 0.051489 values between 0.05 and 0.2644 values between 0.26 and 0.47offnegativepositiveoften

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. 禽
  2. \Module
  3. дж
  4. {\⏎
  5. \xf
  6. tracted
  7. �
  8. wsp
  9. j
  10. Tours

Suppresses

  1. Bowman
  2. bö
  3. ость
  4. localization
  5. 积水
  6. ivas
  7. intersection
  8. acimiento
  9. artz
  10. entral