Neuron Explorer

Qwen3-0.6B

'in' after 'result' (results in)

A neuron in layer 1 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 fires on the word "in" in phrases like "can result in" or "results in", where a cause leads to an outcome. Its strongest negative values come from the French word "en" in French text. Turning it up made the text wander, so the steering doesn't show a clear effect.

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

    dry and itchy skin. Severe cases of dermatitis can result in skin forming crusts or blisters which ooze fluid. There are different types

  2. #2 peak

    can lead to a narrowing of the coronary arteries and restrict blood flow to the heart. Reduced blood flow can result in the formation of blood clots, which can eventually lead to a heart attack.

  3. #3 peak

    inflammatory response syndrome (SIRS) that results in a “cytokine storm,” a dramatic increase in immune cells such as macro

  4. #4 peak

    is the pathophysiological hallmark of atherosclerosis. It is the acute rupture of such plaques that results in a clot (thrombus) that results in ischemia, which simply means inadequate blood flow. ...Read moreSee 1

  5. #5 peak

    surgical complications when your dog gets anesthetized.⏎- ACL injuries: The excess fat from obesity puts too much pressure on the ACL ligament and can result in ACL injuries, which can be very excruciating for your canine.⏎- Body

  6. #6 peak

    openia or even osteoporosis (thin bones). Testosterone keeps the body skin strong , hairy and with healthy sebaceous glands. Low testosterone can result in a loss of body hair and<|endoftext|>1. a band of flexible material, as

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 lately, and I have been thinking about lately, and I have been thinking about lately, and I have been thinking about lately, and I have been thinking about lately, and I have been thinking about lately, and

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

    every other month. Or if you prefer, you can fertilize the plant with a slow-release fertilizer every two to three months.<|endoftext|>Écrivait aussi en français et en latin Roi d'Angleterre et d'Irland

  2. #2 peak

    much of Europe, including France. Inspiration pour des voyages à Londres, en Angleterre, en Ecosse, au Pays de Galles et en Irlande du Nord. 1400-1600

  3. #3 peak

    16th century onwards, turning Lorraine into a centre for the Arts, like Prague, Florence or Rome. (extract from “La Renaissance à Nancy et en Lorraine” -

  4. #4 peak

    and society, leaving scars that remain open to this day.⏎In 2019, the exhibit ‘Being women in the ESMA’ (Ser mujeres en la ESMA, its name in Spanish), was inaugurated to highlight the voices

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. L0:1224 suppresses
  2. L0:1301 suppresses
  3. L0:178 suppresses
  4. L0:770 weakly suppresses "of" after minority, tells or news
  5. L0:2740 weakly excites
  6. L0:781 weakly suppresses
  7. L0:2484 weakly excites
  8. L0:1966 weakly suppresses
  9. L0:210 weakly excites
  10. L0:901 weakly excites 'this' after sentence-initial 'In'
  11. L0:2997 weakly suppresses
  12. L0:2630 weakly excites
  13. L0:285 weakly excites
  14. L0:460 weakly suppresses
  15. L0:835 weakly excites
  16. L0:1569 weakly suppresses
  17. L0:386 weakly suppresses
  18. L0:508 weakly suppresses
  19. L0:16 weakly excites
  20. L0:1688 weakly excites
  21. L0:2456 weakly suppresses
  22. L0:1574 weakly suppresses unclear: mostly line breaks, mixed text
  23. L0:1 weakly suppresses
  24. L0:1682 weakly suppresses

Feeds later layers

  1. L16:1557 suppresses 'in' meaning 'in this case' or 'in between'
  2. L19:704 suppresses
  3. L16:1028 suppresses "in" after a superlative or ordinal
  4. L9:1025 suppresses
  5. L16:1807 suppresses 'in' after a motion verb
  6. L22:535 suppresses
  7. L5:490 suppresses
  8. L23:1366 suppresses
  9. L17:706 suppresses
  10. L4:289 suppresses
  11. L16:1555 suppresses
  12. L16:2892 suppresses
  13. L17:1434 suppresses
  14. L18:698 suppresses
  15. L20:1228 suppresses
  16. L24:893 excites
  17. L11:1187 suppresses
  18. L17:2821 suppresses
  19. L4:1768 suppresses 'in' as a phrase particle
  20. L9:2583 suppresses
  21. L21:1935 suppresses
  22. L17:2877 weakly suppresses
  23. L9:2545 weakly suppresses
  24. L23:2008 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.

2 values between -2.91 and -2.821 values between -2.46 and -2.381 values between -2.38 and -2.295 values between -2.20 and -2.111 values between -2.11 and -2.021 values between -2.02 and -1.931 values between -1.93 and -1.843 values between -1.84 and -1.754 values between -1.75 and -1.672 values between -1.67 and -1.583 values between -1.58 and -1.492 values between -1.40 and -1.314 values between -1.31 and -1.222 values between -1.22 and -1.132 values between -1.13 and -1.053 values between -1.05 and -0.963 values between -0.96 and -0.874 values between -0.87 and -0.782 values between -0.78 and -0.695 values between -0.69 and -0.605 values between -0.60 and -0.515 values between -0.51 and -0.432 values between -0.43 and -0.348 values between -0.34 and -0.2543 values between -0.25 and -0.16219 values between -0.16 and -0.071779 values between -0.07 and 0.021440 values between 0.02 and 0.11264 values between 0.11 and 0.2070 values between 0.20 and 0.2818 values between 0.28 and 0.371 values between 0.37 and 0.461 values between 0.46 and 0.552 values between 0.55 and 0.64offnegativepositiveoften

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. ylan
  2. anh
  3. uele
  4. 挠
  5. 在深圳
  6. udios
  7. isen
  8. 垢
  9. тан
  10. defaults

Suppresses

  1. }:{
  2. estate
  3. นาม
  4. front
  5. verted
  6. 亿元以上
  7. quisition
  8. order
  9. kład
  10. -chief