Neuron Explorer

Qwen3-0.6B

line break after list items or paragraphs

A neuron in layer 18 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 line break that comes right after a sentence or list item, where the next line is likely to start a new bullet or paragraph. When it was turned up, the text drifted into rambling, repetitive phrases with no clear topic.

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

    the best way to take their messages to the wider community by producing ads or other media about the topic.⏎- Have learners create social media campaigns around a particular issue⏎- Develop a public

  2. #2 peak

    Age And Address And Drawing A Self Portrait And A Picture Of Where They Live Alphabet This Early Writing Worksheet Gives Your Child Practice Writing The Entire Alphabet In Lowercase Letters⏎Kindergarten Reading Writing Printable Worksheets⏎Kindergarten<|endoftext|>- as in the cold war

  3. #3 peak

    qual<|endoftext|>Why did Non-Cooperation Movement gradually slow down in cities? Explain two reasons.⏎The Non-Cooperation Movement in the cities gradually slowed down for various reasons⏎

  4. #4 peak

    to eating? Try these tips to get started down the path to health and longevity!⏎- Aim for at least one fully vegetarian meal a week and go from there⏎If you are new to this concept it may be a little intimidating to completely up

  5. #5 peak

    what has happened with similar initiatives in other areas (both successes and failures), and shifts in political priorities and policy intentions. Keeping a diary of events can be useful⏎- Build in a periodic check on these kinds of issues into the agenda of your

  6. #6 peak

    single unit. This may alleviate pain in a motion segment.⏎Spinal fusion, however, has well known potential disadvantages, including:⏎- Loss of motion and flexibility⏎- Permanently altered

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 a number of people in the age of 13 and 15, and some of the age groups are quite old in the age of 13 and 15, and this is a good age for some of

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

    - Pupils need access to technology and research materials to produce PSAs or social media campaigns⏎- This resource is only available on an unencrypted HTTP website. It should be fine for general use, but don’t use it to share any

  2. #2 peak

    in a circle⏎(C) 2009 Copyright Math Open Reference. All rights reserved<|endoftext|>Use chain rule⏎F'(x) = dF(x

  3. #3 peak

    programmers⏎Verbal – masters of word manipulation, they can be quite persuasive. Their command of language gives then a love for storytelling, & a tendency to arguing. These students can have careers in marketing or politics⏎Visual – creating vivid mental pictures

  4. #4 peak

    the base if cut back by fire[⏎The nectar is used to make a sweet drink[⏎The roots and bark are antipyretic and antiseptic. They are used traditionally to treat headaches[⏎If you have any useful information about this

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. L15:2086 strongly suppresses
  2. L14:2593 strongly suppresses
  3. L16:1047 strongly excites
  4. L15:2653 excites
  5. L14:2364 excites
  6. L15:2717 excites
  7. L16:489 suppresses
  8. L17:1048 suppresses
  9. L17:1772 suppresses
  10. L9:1891 excites
  11. L16:1123 excites
  12. L17:1213 excites parenthesis opening a side note
  13. L16:432 suppresses period after month or initial
  14. L17:642 suppresses
  15. L17:659 suppresses
  16. L14:853 suppresses
  17. L8:740 excites
  18. L17:1342 excites
  19. L14:2130 suppresses
  20. L9:2447 excites
  21. L15:345 excites
  22. L17:856 excites
  23. L15:1207 excites
  24. L16:2398 excites

Feeds later layers

  1. L19:389 strongly suppresses
  2. L20:491 strongly excites
  3. L21:102 strongly suppresses
  4. L21:233 strongly excites
  5. L25:40 strongly suppresses
  6. L25:297 strongly excites
  7. L23:171 strongly excites
  8. L26:11 strongly excites
  9. L21:759 strongly excites
  10. L27:1801 strongly excites
  11. L23:444 strongly excites
  12. L21:194 strongly suppresses
  13. L22:282 excites period then line break in lists
  14. L21:147 excites
  15. L26:1018 excites
  16. L27:385 suppresses
  17. L24:507 suppresses
  18. L25:940 suppresses
  19. L24:12 excites
  20. L27:319 suppresses
  21. L20:699 suppresses
  22. L24:145 excites
  23. L27:1053 excites
  24. L27:703 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.

1 values between -13.07 and -12.421 values between -7.88 and -7.231 values between -7.23 and -6.581 values between -5.93 and -5.281 values between -5.28 and -4.632 values between -4.63 and -3.983 values between -3.98 and -3.335 values between -3.33 and -2.686 values between -2.68 and -2.0320 values between -2.03 and -1.3858 values between -1.38 and -0.731870 values between -0.73 and -0.081715 values between -0.08 and 0.5794 values between 0.57 and 1.2249 values between 1.22 and 1.8723 values between 1.87 and 2.5222 values between 2.52 and 3.1712 values between 3.17 and 3.817 values between 3.81 and 4.464 values between 4.46 and 5.112 values between 5.11 and 5.762 values between 5.76 and 6.411 values between 6.41 and 7.061 values between 7.06 and 7.712 values between 7.71 and 8.362 values between 8.36 and 9.011 values between 10.31 and 10.961 values between 10.96 and 11.611 values between 12.26 and 12.91offnegativepositiveoften

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. ⏎⏎
  2. ⏎⏎⏎
  3. ⏎
  4. ⏎⏎⏎⏎
  5. ⏎⏎⏎⏎⏎⏎
  6. ⏎ ⏎
  7. "⏎⏎
  8. ”⏎⏎
  9. `⏎⏎
  10. )⏎⏎

Suppresses

  1. .', ⏎
  2. .',⏎
  3. .');⏎
  4. .'); ⏎
  5. .",⏎
  6. ."); ⏎
  7. .';⏎
  8. .").
  9. .'));⏎
  10. .";⏎