Neuron Explorer

Qwen3-0.6B

"the" introducing a noun phrase after a name or preposition

A neuron in layer 6 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on the word "the" when it comes right after a name or a phrase like "with" or "in", as in "Rosey the Riveter" or "the man in the black hat". When it was turned up, the writing drifted into odd, repetitive loops.

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

    1000-piece puzzle of World War II propaganda posters tells the story from the Home Front. Who wouldn't recognize Rosey the Riveter, the woman, sporting a red bandana, her bicep

  2. #2 peak

    caused many streetcars to be stalled behind the first, now horseless, car. Bergh then stopped a car going in another direction.⏎The “man in the black hat” had been trying for many months to get the streetcar companies to

  3. #3 peak

    ''s most intelligent animals. See a great silverback gorilla, the monkey with the biggest nose, how gibbonsswing through the trees, multicolored m

  4. #4 peak

    race? What would it be like? How would it feel?⏎is one of the fascinating scenarios Philip K. Dick exposes us to in his classic The Man in the High Castle. This 1962 alternative history portrays a world in which

  5. #5 peak

    , I can't change a⏎> component of somethingNew without creating y. The point is there's⏎> nothing about x that changed,⏎The thing with the changed component is not x anymore.⏎> and there

  6. #6 peak

    ball boy watches over them.⏎Do kickers get tackled?⏎Yes, the kicker and punter are expected to try to make a tackle, if the person with the ball gets that far. … You can tackle the kicker / punter if you

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: "If you are given the choice of your own hands to choose your own heart's desire...Youthful Medicine." This is a common statement, but the question is, does it really work or not. The intent of your heart,

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

    construction for the new Heilwood Company store had begun. It would be a two-story, wooden frame building and included not only a general store, but also the town post office. The store manager’s house was constructed directly below the store (

  2. #2 peak

    to a garden, a theme to which all other parts relate. This may be a walk or a summer-house or a sun-dial or a garden bed or the residence itself, or a brook falling down the sward between trees and bushes

  3. #3 peak

    -years wide⏎Isaac Newton’s universe was a cozy, tidy place. Gathered around the sun were six planets, a handful of moons and the occasional comet, all moving against a backdrop of stationary stars. Newton provided us with

  4. #4 peak

    nature⏎a person who rules with total and unlimited control⏎a narrow waterway connecting two larger bodies of water⏎a state made up of an independent city and the nearby countryside⏎a government by a few⏎a government by the people⏎a

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. L4:52 excites
  2. L4:73 suppresses
  3. L5:125 excites "of" after all three, both, ten
  4. L5:1747 weakly suppresses
  5. L4:19 weakly suppresses
  6. L4:731 weakly excites
  7. L4:49 weakly suppresses
  8. L4:683 weakly suppresses
  9. L3:1456 weakly suppresses
  10. L5:225 weakly excites
  11. L2:2268 weakly excites
  12. L4:245 weakly excites
  13. L3:1447 weakly suppresses
  14. L1:2419 weakly excites
  15. L0:2802 weakly suppresses
  16. L4:962 weakly excites
  17. L2:721 weakly excites
  18. L3:1784 weakly excites
  19. L4:130 weakly excites
  20. L0:912 weakly excites
  21. L0:2718 weakly excites
  22. L3:291 weakly excites
  23. L5:561 weakly excites
  24. L5:9 weakly suppresses

Feeds later layers

  1. L9:656 suppresses
  2. L9:24 suppresses "the" before a named organisation or title
  3. L8:466 excites 'a' or 'an' before a noun phrase
  4. L11:875 suppresses
  5. L20:901 excites
  6. L16:2062 suppresses "other" and contrast words
  7. L18:314 suppresses
  8. L17:188 excites 'a' before a noun phrase
  9. L12:1990 suppresses
  10. L17:1542 excites
  11. L12:435 suppresses
  12. L18:2305 weakly excites
  13. L16:1309 weakly excites
  14. L18:884 weakly excites
  15. L17:30 weakly suppresses
  16. L16:2248 weakly excites
  17. L14:2374 weakly excites
  18. L18:635 weakly excites
  19. L20:1123 weakly suppresses
  20. L12:1364 weakly suppresses
  21. L20:2682 weakly excites
  22. L9:59 weakly excites "a" meaning per (a day, a year)
  23. L19:1475 weakly excites
  24. L20:1907 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 -3.07 and -2.881 values between -2.69 and -2.511 values between -2.51 and -2.321 values between -2.32 and -2.131 values between -2.13 and -1.941 values between -1.75 and -1.564 values between -1.56 and -1.376 values between -1.37 and -1.196 values between -1.19 and -1.0010 values between -1.00 and -0.8116 values between -0.81 and -0.6222 values between -0.62 and -0.4398 values between -0.43 and -0.24756 values between -0.24 and -0.052126 values between -0.05 and 0.14734 values between 0.14 and 0.3270 values between 0.32 and 0.5124 values between 0.51 and 0.709 values between 0.70 and 0.897 values between 0.89 and 1.083 values between 1.08 and 1.272 values between 1.27 and 1.463 values between 1.46 and 1.643 values between 1.64 and 1.832 values between 2.02 and 2.211 values between 4.28 and 4.47offnegativepositiveoften

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. alto
  2. altet
  3. _strip
  4. éis
  5. 企业提供
  6. 蹼
  7. achten
  8. cripts
  9. raid
  10. gett

Suppresses

  1. 家乡
  2. std
  3. able
  4. ::
  5. 我家
  6. 我省
  7. 一名
  8. 堪
  9. aspects
  10. 臺南市