Neuron Explorer

Qwen3-0.6B

unclear: mid-phrase word in mixed text

A neuron in layer 15 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron fires on a word in the middle of a phrase, and the words it picks are very different from one another, so no single theme stands out. It goes quiet or negative on digits and codes inside addresses and product numbers. Turning it up made the model's text drift toward a repeated theme, which does not clearly tie back to the neuron.

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

    G sites can differ from cell to cell as different nucleic acid sequences are used to create

  2. #2 peak

    -12 structures for a end of the year 2010 total of around a half

  3. #3 peak

    45° angle to it. When the sun is lower in the sky, the shadow will be

  4. #4 peak

    2 years old to the almost uninhabited stretches of prairie in western Kansas. His

  5. #5 peak

    ClippedText property is set to false⏎and also when passing an area of interest via GetText

  6. #6 peak

    31-kilometre-long collider; like the Large Hadron Collider, it promises to recreate

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 been writing about this thing (this thing I'm writing about it, I'll write it, it's been written about it, it's been written about it, it's been written about it, it's been written about it

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

    provider:|| Postal: Katajanokanlaituri 6B, 00160 Helsinki|⏎Web page: http://www.wider.unu.edu/⏎More information

  2. #2 peak

    7Availability: In StockCBD Stock No: WW265132<|endoftext|>Ophthalmologists work in hospitals and clinics on land and aboard ships.⏎

  3. #3 peak

    Drive, Headington, Oxford, OX3 8QQ⏎Back to previous page<|endoftext|>A waterspout is a cyclonic wind event

  4. #4 peak

    have an idea for an applied, data-centric note of no more than 3,000 words, please send a one-paragraph abstract to email@example.com for consideration.⏎This article discusses how the U.S. Department of Housing and Urban

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. L7:1302 suppresses
  2. L12:570 suppresses
  3. L14:1140 excites
  4. L4:21 excites
  5. L14:7 suppresses
  6. L2:437 suppresses
  7. L12:2372 weakly excites
  8. L9:1727 weakly excites
  9. L10:1631 weakly suppresses
  10. L1:1260 weakly excites
  11. L3:856 weakly suppresses
  12. L0:1 weakly suppresses
  13. L10:243 weakly excites
  14. L3:841 weakly excites
  15. L3:875 weakly excites
  16. L0:2974 weakly suppresses
  17. L11:857 weakly excites
  18. L14:428 weakly suppresses
  19. L9:31 weakly suppresses
  20. L12:1687 weakly excites
  21. L0:236 weakly excites
  22. L10:1762 weakly suppresses
  23. L11:1759 weakly excites
  24. L11:176 weakly excites

Feeds later layers

  1. L19:779 excites
  2. L17:622 excites
  3. L16:1599 suppresses
  4. L16:1048 suppresses
  5. L16:1113 excites
  6. L17:2842 suppresses
  7. L19:462 suppresses
  8. L18:2944 suppresses
  9. L18:1189 excites
  10. L16:823 excites
  11. L20:3046 suppresses
  12. L18:565 excites
  13. L16:1331 excites
  14. L17:1199 suppresses
  15. L18:1678 suppresses
  16. L18:1308 suppresses opening parenthesis before an acronym
  17. L16:3012 weakly suppresses
  18. L18:660 weakly excites
  19. L18:2461 weakly excites
  20. L21:129 weakly suppresses
  21. L18:815 weakly excites
  22. L16:2621 weakly suppresses
  23. L16:375 weakly excites
  24. L17:825 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.

2 values between -2.74 and -2.541 values between -2.54 and -2.333 values between -2.13 and -1.922 values between -1.92 and -1.723 values between -1.72 and -1.525 values between -1.52 and -1.312 values between -1.31 and -1.1110 values between -1.11 and -0.9112 values between -0.91 and -0.70150 values between -0.70 and -0.501004 values between -0.50 and -0.301374 values between -0.30 and -0.09764 values between -0.09 and 0.11200 values between 0.11 and 0.32114 values between 0.32 and 0.5264 values between 0.52 and 0.7242 values between 0.72 and 0.9332 values between 0.93 and 1.1322 values between 1.13 and 1.3315 values between 1.33 and 1.5412 values between 1.54 and 1.7415 values between 1.74 and 1.9513 values between 1.95 and 2.1511 values between 2.15 and 2.3511 values between 2.35 and 2.567 values between 2.56 and 2.764 values between 2.76 and 2.962 values between 2.96 and 3.171 values between 3.17 and 3.372 values between 3.37 and 3.571 values between 3.57 and 3.781 values between 3.78 and 3.981 values between 3.98 and 4.193 values between 4.59 and 4.801 values between 5.00 and 5.202 values between 5.20 and 5.41offnegativepositiveoften

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. 起
  2. d
  3. ourced
  4. 做一个
  5. 倍
  6. OLD
  7. nyder
  8. ichier
  9. 原
  10. 原始

Suppresses

  1. (Configuration
  2. \Configuration
  3. tery
  4. quiring
  5. lescope
  6. alore
  7. 蝇
  8. aleza
  9. llama
  10. 但是我