Neuron Explorer

Qwen3-0.6B

unclear: words before a source or reference

A neuron in layer 12 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 is hard to pin down. It fires on words that often come just before a source, a reference or a continuation such as 'from', 'Source' or 'index'. Turning it up gave off-topic text, so the steering does not help.

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

    six sections has an introduction by the editor including the latest research, references, and updates in the field. This book is enhanced with numerous color illustrations, a comprehensive index, and the many computer program examples encourage reader

  2. #2 peak

    factory automation equipment; their site has a great section on roll-to-roll plastic electronics assembly technologies. It is fascinating to look through the process – it gets my imagination running on what the future of light engines will look like.⏎Here is their PDF brochure

  3. #3 peak

    Please remember to answer the questions in full sentences.⏎- Where did the children used to play?⏎- Describe the garden. What did it look like? Use words from the text to help you.⏎- Were the children

  4. #4 peak

    she was a “bride,” so that one can easily tell at a glance if a man be or be not mortgaged as to his affections.⏎Source: "German Betrothal Customs," (Harvard) Herald, 6

  5. #5 peak

    Smith first introduces herself by saying, “Hi Stephanie, my name is Dr. Smith, but you can call me Julie. Nice to meet you.” Stephanie looks up and nods but does not say anything. Dr. Smith introduces herself to Stephanie’s

  6. #6 peak

    00 wounded.⏎- Richter, G (1870). Manual of Coorg. Stolz. p. 337. Retrieved 14 August 2014.⏎- Archer, Jeremy. "Sir

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 how of a single person, the reason, and the relationship between the human and the animal. I have been thinking about people, but only the human in one person, but the human in one person, the relationship between the human 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

    curator and historian, is in charge of the whole collection.⏎A unique piece of art⏎The entire exhibit is composed of different pieces. While each piece aims to depict a different story, together they tell a more beautiful tale. It is unlike any

  2. #2 peak

    This allows children to draw and write to show their mathematical thinking.⏎Contents 4-8 Counting and Cardinality Task Cards

  3. #3 peak

    Kaplan. The expose was written to show the appalling condition in various state schools through the country. The majority of the institutions

  4. #4 peak

    abuses across the world for their simplicity, universality, and ordinariness.⏎What type of person was Robert Frost?⏎Robert Frost was an American poet who depicted realistic New England life through language and situations familiar to the common man. He won

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. L6:3018 suppresses
  2. L6:2735 weakly excites
  3. L10:524 weakly excites
  4. L11:2350 weakly excites
  5. L11:1998 weakly suppresses
  6. L4:766 weakly excites
  7. L10:741 weakly excites
  8. L4:1175 weakly suppresses
  9. L11:2159 weakly suppresses
  10. L6:1551 weakly suppresses
  11. L11:914 weakly suppresses
  12. L10:1068 weakly excites
  13. L3:1037 weakly suppresses
  14. L9:2665 weakly excites
  15. L5:697 weakly excites
  16. L9:2671 weakly excites
  17. L3:2586 weakly suppresses
  18. L6:2139 weakly excites
  19. L7:170 weakly suppresses
  20. L11:754 weakly excites
  21. L9:1185 weakly excites
  22. L11:2985 weakly excites
  23. L6:816 weakly suppresses "D" in vitamin D
  24. L10:858 weakly suppresses digit 1 in COVID-19 and 1941

Feeds later layers

  1. L19:2359 weakly suppresses
  2. L18:1172 weakly suppresses
  3. L14:2460 weakly suppresses
  4. L16:266 weakly excites
  5. L22:1036 weakly suppresses
  6. L20:1615 weakly suppresses
  7. L21:52 weakly excites
  8. L15:2073 weakly suppresses
  9. L13:2238 weakly suppresses
  10. L21:2546 weakly suppresses
  11. L23:2743 weakly suppresses
  12. L15:1138 weakly suppresses
  13. L26:1660 weakly suppresses
  14. L15:2394 weakly suppresses
  15. L18:979 weakly suppresses
  16. L24:1984 weakly suppresses
  17. L23:941 weakly suppresses
  18. L18:2269 weakly suppresses
  19. L14:2597 weakly suppresses
  20. L17:3038 weakly suppresses
  21. L21:31 weakly excites
  22. L13:1515 weakly excites "your" before doctor or health provider
  23. L20:2298 weakly suppresses
  24. L20:1131 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.

1 values between -5.40 and -5.231 values between -2.71 and -2.542 values between -1.53 and -1.362 values between -1.36 and -1.195 values between -1.19 and -1.035 values between -1.03 and -0.867 values between -0.86 and -0.6914 values between -0.69 and -0.5241 values between -0.52 and -0.35122 values between -0.35 and -0.181052 values between -0.18 and -0.022206 values between -0.02 and 0.15371 values between 0.15 and 0.3262 values between 0.32 and 0.497 values between 0.49 and 0.666 values between 0.66 and 0.822 values between 0.82 and 0.991 values between 0.99 and 1.161 values between 1.16 and 1.33offnegativepositiveoften

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. liner
  2. ANCES
  3. lickr
  4. Recipes
  5. slack
  6. preced
  7. edList
  8. éis
  9. bin
  10. pas

Suppresses

  1. phis
  2. escription
  3. organism
  4. нюю
  5. 茧
  6. organisms
  7. Planet
  8. DETAIL
  9. (detail
  10. Private