Neuron Explorer

Qwen3-0.6B

art and artist names in lists

A neuron in layer 25 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 in texts about painters and art history, often on a comma or name right where another artist's name is likely to follow, such as after 'Renoir' or 'Paul' in 'Paul Gauguin'. When turned up, the model drifted toward writing and creating themes, though the link is loose.

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 painter Charles Gleyre (1806 – 1874) (Gleyre Marc-Gabriel trained students such as Renoir, Monet, Sisley), he attended from 1875 training

  2. #2 peak

    he invented all the genres of art. All of them. Impressionism, post-modernism, and even cave paintings. In this seminar, Leo teaches

  3. #3 peak

    Paris to live in his brother’s apartment in Montmartre. His brother was an art dealer, and through him, he met Camille Pissarro and Paul Gauguin.⏎Up

  4. #4 peak

    big influence on his art.⏎Vincent van Gogh had gone to Arles with the intention of creating a colony of artists... but nobody came. Eventually, Paul Gauguin came to try it out.⏎Gauguin was a good friend

  5. #5 peak

    quite a bit from the Impressionists, though: Impressionists painted what they saw, but Van Gogh painted what he felt.⏎Van Gogh and Georges Seurat became very good friends, and the influence of Seurat can be seen

  6. #6 peak

    romantic artists like Fuseli and Blake, as well as by his continued friendship with Coleridge. He was accepted to the Royal Academy of Art and did portrait and historical paintings. When in London he nearly finished a painting called Belshazzar

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 body is a body. It is a body that is body body body body body body body body body body body body body body body body body body body body body body body body body body body body body body body body body body body body

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

    prints were affordable and widely distributed, and they had a significant influence on Western art, particularly Impressionism. Some of the most famous ukiyo-e artists include Katsushika Hokusai,<|endoftext|>Weight loss can be a major struggle

  2. #2 peak

    ⏎Director, Glenn Lowry: Matisse first conceived this painting in 1912, while he was visiting Morocco. But he didn't actually start the canvas until early 1916. Once he did, he continued

  3. #3 peak

    the MOHAI commissioned Seattle-based artist John Grade to create a sculpture for the museum’s new home: the renovated Naval Reserve Armory

  4. #4 peak

    single ubiquitin moiety (monoubiquitination) or<|endoftext|>A Trusting Heart takes place in 1880, the same year this painting was made.⏎In Carrie’s novella, A Trusting Heart, the heroine’s

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. L20:2050 strongly excites
  2. L21:2054 suppresses
  3. L10:2348 suppresses
  4. L4:807 suppresses
  5. L14:1656 suppresses
  6. L10:505 excites
  7. L20:319 excites
  8. L6:2271 suppresses art, paintings and painters
  9. L23:2973 excites
  10. L6:2636 excites
  11. L24:2092 excites "self" before esteem or image
  12. L6:2760 suppresses
  13. L6:810 suppresses
  14. L11:874 excites
  15. L9:691 suppresses
  16. L11:2476 excites
  17. L6:1928 weakly excites
  18. L3:996 weakly suppresses
  19. L18:2302 weakly excites
  20. L0:3001 weakly suppresses
  21. L22:1593 weakly excites
  22. L24:996 weakly excites
  23. L15:1866 weakly suppresses
  24. L20:2537 weakly suppresses

Feeds later layers

  1. L27:1272 excites
  2. L27:1158 suppresses
  3. L26:819 excites
  4. L27:2956 weakly excites
  5. L27:2730 weakly excites
  6. L27:2428 weakly excites
  7. L27:1915 weakly excites
  8. L26:2540 weakly suppresses
  9. L27:1153 weakly excites
  10. L26:2676 weakly excites
  11. L27:435 weakly suppresses
  12. L26:1339 weakly suppresses
  13. L27:2207 weakly suppresses
  14. L26:2042 weakly suppresses
  15. L27:3068 weakly excites
  16. L27:2978 weakly excites
  17. L26:2927 weakly excites
  18. L26:2902 weakly excites
  19. L26:2470 weakly suppresses
  20. L27:566 weakly suppresses
  21. L27:2074 weakly excites
  22. L26:1155 weakly suppresses
  23. L26:2695 weakly excites
  24. L26:2168 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 -55.16 and -53.181 values between -19.60 and -17.621 values between -17.62 and -15.652 values between -15.65 and -13.671 values between -11.70 and -9.727 values between -9.72 and -7.7514 values between -7.75 and -5.7722 values between -5.77 and -3.8096 values between -3.80 and -1.822427 values between -1.82 and 0.161282 values between 0.16 and 2.1330 values between 2.13 and 4.1115 values between 4.11 and 6.084 values between 6.08 and 8.063 values between 8.06 and 10.031 values between 13.98 and 15.961 values between 21.88 and 23.86offnegativepositiveoften

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. 写
  2. (write
  3. 写的
  4. write
  5. writing
  6. writing
  7. write
  8. Write
  9. 寫
  10. 写出

Suppresses

  1. (create
  2. 创建
  3. 创建
  4. .create
  5. Creates
  6. creation
  7. create
  8. create
  9. creating
  10. →create