Neuron Explorer

Qwen3-0.6B

unclear: fractions and odd characters mid-word

A neuron in layer 21 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 reacts to unusual symbols: fraction signs like ⅕ and ⅔, circled numbers, runes, and places inside foreign-script words where a letter or accent seems to be missing. The pattern is hard to summarise in one idea, and steering did not produce a clear theme.

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

    weeverfish, adder pike, black fin, little weever.⏎It has an elongated body, compressed at the sides; its height exceeds ⅕ of the body length. It is covered with small cycloid scales; the

  2. #2 peak

    The angular velocity of the gear blank is ω 1 and ω 1, and the angular velocity of the gear blank is ω 1;⏎② The blade moves with the revolution of (q) plane, and the angular

  3. #3 peak

    do it!⏎- Bottle (an empty plastic water bottle will work)⏎- Vegetable oil⏎- Food coloring⏎- Alka-Seltzer tablets⏎Fill ⅔ of the bottle with vegetable oil, and fill the remaining part with water.

  4. #4 peak

    ic inscription in Younger Futhark:ᛒᚱᚢᛋᛏᚢᛚᛁᚴᛅ⏎Younger Futhark runes were used from

  5. #5 peak

    rx’r [Lurje, 2004, p. 20]. In the New Persian language this word is transferred in form ﺭﺎﺨﺭﻓ farxār [Baev

  6. #6 peak

    skiy, 1980, p. 88] or ﺭﺎﻬﺑ bihār [Hudūd al-‘

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: what if I was the result of a **moral and natural** **centuries**? What is the result of me—? What is the result of me? What would I be? What would I be—? What would I

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

    hardship.⏎This I can say for myself:⏎that for awhile I was the Heodeninga<|endoftext|>This essay has been submitted by a student. This is not an example of the work written by our professional essay writers.⏎As the soil, however

  2. #2 peak

    for<|endoftext|>- Agriculture in NSW is important for the state’s economy, industries, communities and

  3. #3 peak

    and the authors also include methods that allow for the solving of nonmathematical problems as mathematical problems.⏎To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software.

  4. #4 peak

    , toward positive holistic wellbeing.⏎Strengthen, support and guide stakeholders, to further advance the self-determined education aspirations, achievements and successes for Kahungunu ākonga, whānau, hapū and iwi.⏎Design

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. L19:2973 suppresses
  2. L18:528 suppresses
  3. L17:2096 suppresses
  4. L18:1940 excites
  5. L17:1333 suppresses
  6. L18:480 suppresses
  7. L19:377 suppresses
  8. L19:1280 suppresses end-of-document token between unrelated texts
  9. L19:771 suppresses
  10. L6:1374 weakly suppresses
  11. L4:32 weakly excites
  12. L16:1046 weakly excites
  13. L15:643 weakly excites
  14. L18:901 weakly suppresses
  15. L19:1167 weakly excites
  16. L16:442 weakly suppresses
  17. L16:1637 weakly suppresses
  18. L9:808 weakly suppresses
  19. L3:1324 weakly excites
  20. L3:298 weakly suppresses
  21. L3:923 weakly suppresses
  22. L16:1438 weakly suppresses
  23. L10:1630 weakly suppresses
  24. L7:1321 weakly excites

Feeds later layers

  1. L23:2636 excites
  2. L23:2273 excites
  3. L26:1792 excites
  4. L23:166 weakly suppresses
  5. L26:893 weakly excites
  6. L22:320 weakly excites
  7. L23:2050 weakly suppresses
  8. L26:747 weakly excites
  9. L25:429 weakly excites
  10. L22:2310 weakly suppresses
  11. L27:674 weakly excites
  12. L23:2151 weakly suppresses
  13. L22:1328 weakly excites
  14. L23:364 weakly suppresses
  15. L27:2688 weakly excites
  16. L24:1568 weakly suppresses
  17. L22:1854 weakly suppresses
  18. L22:2049 weakly suppresses
  19. L22:1485 weakly suppresses
  20. L23:279 weakly suppresses
  21. L23:2283 weakly suppresses
  22. L25:3012 weakly excites
  23. L22:831 weakly suppresses
  24. L27:1670 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.

1 values between -2.60 and -2.424 values between -1.56 and -1.386 values between -1.38 and -1.2111 values between -1.21 and -1.0427 values between -1.04 and -0.8752 values between -0.87 and -0.69127 values between -0.69 and -0.52231 values between -0.52 and -0.35450 values between -0.35 and -0.171734 values between -0.17 and 0.001072 values between 0.00 and 0.17130 values between 0.17 and 0.3541 values between 0.35 and 0.5217 values between 0.52 and 0.691 values between 0.69 and 0.871 values between 0.87 and 1.041 values between 1.04 and 1.211 values between 2.42 and 2.601 values between 4.16 and 4.33offnegativepositiveoften

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. →→→→→→→→→→→→→→→→
  2. →→→→→→→→→→→→→→→
  3. →→→→→→→→→→→→→→→→→→→→
  4. →→→→→→→→→→→→→→→→→→
  5. →→→→→→→→→→→→→
  6. →→→→→→→→→→→→→→→→→
  7. →→→→→→→→→→→→→→

Suppresses

  1. elight
  2. dera
  3. liền
  4. гон
  5. lier
  6. prem
  7. Sala
  8. iss
  9. ons
  10. próp