Neuron Explorer

Qwen3-0.6B

"to" after "used" (purpose)

A neuron in layer 21 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 "to" when it comes right after "used" and introduces a purpose, as in "used to treat" or "used to analyze". Turning it up made the model's writing collapse into loops of the word "use", so the link to the text it writes is weak.

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

    in electrical current—can plunge the results of the most carefully designed experiment into ambiguity.⏎Consider the laser, one of the workhorse tools of modern research, used to analyze, print, scan, cool, heat, and more. Variations in

  2. #2 peak

    Carpobrotus virescens). The fruit provided a sweet, thirst quenching, summer food and an infusion of the crushed leaves was used to treat stomach cramps and diarrhoea.⏎Quandong (Santalum

  3. #3 peak

    found in kitchens all around the world. But did you know that black pepper is not only the world’s most traded spice, but that it can also be used to illustrate some important science principles such as surface tension?⏎Here’s a fascinating home science

  4. #4 peak

    theft. It can be both a state crime and a federal crime.⏎- Credit Card Fraud⏎When a credit card is stolen, forged or in any way used to pay for something without the permission of the card owner, it is credit card fraud

  5. #5 peak

    flower, or fruit from which they are derived. Some, like Lavender and rose, are used to soothe and calm. Other essential oils are more invigorating — basil and

  6. #6 peak

    iterpenes, phenolic compounds, carotenoids, steroids, and ketones. Its branches and leaves are often used to produce essential oils and metabolic extracts employing different organic solvents (Ferreira et

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: use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a use a

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

    their citizens of ethnicity Y who have contacts in State B are supporters of State B, and try to identify, capture and interrogate them to have information that may be helpful to suppress any opposition.⏎[F4] Security services of State A hack into

  2. #2 peak

    will cut pollution, and that decision could have a significant impact on the money each state earns under RGGI pollution permit auctions. That money earned in turn can be directed toward clean energy programs to help industry and residents cut their energy bills.⏎R

  3. #3 peak

    to start a dialogue about racial representation and stereotypes.⏎The program follows student participation in an education partnership with the West Chicago City Museum. All proceeds from the performance will be donated to the school’s Multicultural Sensitivity Club.⏎Thoughts on the program

  4. #4 peak

    a broad range of cancer cells. It enables the cancer cell to consume far more glucose than normal, while using little of it for energy. Instead, the rest is used to<|endoftext|>The turn of the twentieth century is often referred to as the nad

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. L16:2526 suppresses
  2. L19:2824 suppresses
  3. L17:405 suppresses
  4. L19:2736 suppresses
  5. L20:1623 excites
  6. L18:2963 excites
  7. L11:2908 excites
  8. L19:2495 suppresses
  9. L8:2102 excites
  10. L16:716 weakly suppresses
  11. L6:2897 weakly suppresses
  12. L18:2515 weakly suppresses
  13. L12:1633 weakly suppresses
  14. L19:1689 weakly suppresses
  15. L13:2757 weakly suppresses
  16. L10:2412 weakly suppresses
  17. L19:544 weakly excites
  18. L20:246 weakly suppresses
  19. L18:2419 weakly suppresses
  20. L14:1872 weakly excites
  21. L18:2469 weakly excites
  22. L17:1187 weakly excites
  23. L15:1700 weakly suppresses
  24. L2:636 weakly excites

Feeds later layers

  1. L25:899 strongly suppresses
  2. L27:642 strongly suppresses
  3. L26:1033 strongly suppresses
  4. L23:663 strongly suppresses
  5. L27:2875 suppresses
  6. L26:1125 suppresses
  7. L24:1804 suppresses
  8. L22:2421 suppresses
  9. L24:2695 suppresses
  10. L22:2187 suppresses middle pieces of split surnames
  11. L22:2305 excites
  12. L27:883 suppresses
  13. L25:301 weakly suppresses
  14. L22:2145 weakly suppresses
  15. L23:2911 weakly suppresses
  16. L23:684 weakly suppresses
  17. L24:1237 weakly suppresses
  18. L22:478 weakly suppresses
  19. L24:1666 weakly suppresses
  20. L23:292 weakly excites
  21. L26:2600 weakly suppresses
  22. L23:422 weakly suppresses
  23. L22:1922 weakly suppresses
  24. L24:1055 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 -22.78 and -21.591 values between -14.43 and -13.241 values between -10.86 and -9.661 values between -9.66 and -8.472 values between -7.28 and -6.096 values between -6.09 and -4.8914 values between -4.89 and -3.7014 values between -3.70 and -2.5170 values between -2.51 and -1.32968 values between -1.32 and -0.122692 values between -0.12 and 1.0780 values between 1.07 and 2.2624 values between 2.26 and 3.4615 values between 3.46 and 4.654 values between 4.65 and 5.842 values between 5.84 and 7.035 values between 7.03 and 8.232 values between 8.23 and 9.422 values between 9.42 and 10.612 values between 10.61 and 11.801 values between 15.38 and 16.571 values between 23.73 and 24.92offnegativepositiveoften

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. erah
  2. fühl
  3. efault
  4. тов
  5. atalog
  6. .rawValue
  7. aviest
  8. й
  9. ate
  10. ólogo

Suppresses

  1. use
  2. use
  3. 使用
  4. 用
  5. using
  6. using
  7. →use
  8. .use
  9. Use
  10. Use