Neuron Explorer

Qwen3-0.6B

unclear: split words and dimensions

A neuron in layer 10 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 fires on a piece of a word that is cut into several parts, like 'trifoliate' or 'foliaceous', and on words that describe directions or shapes, like 'vertical' or 'leaves'. It goes strongly negative on measurements such as '3 x 3 x 3' or 'm2'. Turning it up didn't produce a clear theme in the writing.

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

    twiggy bush, of fully a yard high. Leaves trifoliolate, clothed beneath with closely adpressed hairs, and bright yellow, somewhat

  2. #2 peak

    - blue paper⏎- black paper⏎- pencil top eraser⏎The piece we selected to recreate was Van Gogh’s Starry Night. We’ve been learning about apples this week, an easy tie in was to

  3. #3 peak

    UN committee asked the Australian Government to report back to it in detail in the<|endoftext|>Discover the words hidden in the grid, written through one another in eight horizontal, vertical and diagonal directions. Select words by clicking on the first and last letters, in

  4. #4 peak

    first person to cover 4 pictures in a row (horizontal, vertical or diagonal). The winner calls out "Lotto!" or "Loteria

  5. #5 peak

    level as below.⏎Size of QRcode is defined as version.⏎Version is from 1 to 40.⏎Version 1 is 21*21 matrix. And 4 modules increases whenever 1 version increases.⏎So version

  6. #6 peak

    short lateral stems and then seemingly axillary)||Muellerina|⏎Back to 1⏎|3||Flowers in heads, enclosed in 2 enlarged foliaceous bracts fused at margins over buds during development||Diplatia|⏎

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 thinking about it, and I have to write it on the page, so I will do this on the page... the same way, so I will do this... the same way... the same... So I will do this

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

    be loaded into your 3D printer. If it’s your first time using a 3D printer, consider starting with something relatively small (3” x 3” x 3”) so you can get comfortable with the 3D

  2. #2 peak

    or effective dilution and removal of the gas. A release scenario showing a 10 g/s release of hydrogen inside a process container of 40 m2 is illustrated in figure 4. The calculations, carried out with the CFD

  3. #3 peak

    . When students recognize that they need the lengths of the diagonal sides of the box give them the measurements for those sides (2.2 inches for the sides around the top and 6.4 inches for the sides

  4. #4 peak

    of rock, usually about 0.03 mm thick, attached to a glass slide with an epoxy resin. Thin sections are usually about 26 x 46 mm, but there can be other sizes depending on what needs to be

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. L8:1274 suppresses
  2. L8:1763 suppresses
  3. L8:690 excites
  4. L9:2109 excites
  5. L8:335 suppresses
  6. L7:1128 suppresses
  7. L8:2381 weakly excites
  8. L5:507 weakly excites
  9. L6:1548 weakly excites
  10. L9:2463 weakly excites
  11. L6:525 weakly suppresses
  12. L7:2981 weakly excites
  13. L6:2739 weakly excites
  14. L7:2926 weakly excites
  15. L6:1858 weakly excites
  16. L5:2793 weakly excites
  17. L3:1647 weakly excites
  18. L7:2587 weakly excites
  19. L6:729 weakly excites
  20. L6:2424 weakly suppresses
  21. L9:2335 weakly excites
  22. L8:2744 weakly excites
  23. L9:2048 weakly suppresses
  24. L6:2188 weakly suppresses

Feeds later layers

  1. L11:2654 suppresses
  2. L11:1777 suppresses
  3. L11:1878 suppresses
  4. L14:988 suppresses the word 'two' after 'the other'
  5. L13:564 suppresses
  6. L22:1502 suppresses
  7. L23:1098 weakly excites
  8. L23:2941 weakly suppresses
  9. L12:475 weakly suppresses
  10. L11:2478 weakly suppresses
  11. L13:1301 weakly suppresses
  12. L16:747 weakly excites
  13. L16:2200 weakly excites
  14. L16:808 weakly suppresses
  15. L12:1440 weakly excites
  16. L19:3059 weakly suppresses
  17. L12:1090 weakly excites
  18. L13:412 weakly excites
  19. L14:2834 weakly suppresses
  20. L20:660 weakly suppresses
  21. L16:2442 weakly excites
  22. L12:729 weakly suppresses
  23. L22:1053 weakly suppresses
  24. L14:929 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 -3.01 and -2.861 values between -2.26 and -2.111 values between -1.51 and -1.362 values between -1.36 and -1.211 values between -1.06 and -0.911 values between -0.91 and -0.762 values between -0.76 and -0.616 values between -0.61 and -0.4622 values between -0.46 and -0.31127 values between -0.31 and -0.161002 values between -0.16 and -0.012059 values between -0.01 and 0.14559 values between 0.14 and 0.2998 values between 0.29 and 0.4417 values between 0.44 and 0.602 values between 0.60 and 0.751 values between 0.75 and 0.902 values between 0.90 and 1.051 values between 1.20 and 1.351 values between 1.50 and 1.651 values between 2.70 and 2.851 values between 2.85 and 3.00offnegativepositiveoften

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. hos
  2. medic
  3. miss
  4. ZN
  5. caut
  6. 寺庙
  7. shove
  8. hosts
  9. hosts
  10. zf

Suppresses

  1. orizontal
  2. 行
  3. andra
  4. rowspan
  5. tml
  6. ssue
  7. 裤
  8. odelist
  9. ona
  10. -inline