Neuron Explorer

Qwen3-0.6B

the word 'name' in definitions

A neuron in layer 16 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

The neuron fires on the word 'name' when it is being used to say what something is called, such as 'the name given to', 'her name', or 'function name'. Turning it up made the model keep talking about names and titles, so the link is clear.

Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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 part of the telephone book that lists residential and business telephone numbers in alphabetical order by name, usually without any advertising copy⏎- White Pages are the name given to one of the three main components of UDDI, the protocol used

  2. #2 peak

    on a book shelf, and larger, white, adult-sized calf lying beside a beat-up MacBook Pro.⏎Ginger Coons, a PhD student who prefers her name rendered as “ginger

  3. #3 peak

    used in defining function is:⏎- Return type. This is the type of value that is returned by the function and can be a type C data.⏎- Function name. This is the identifier in which you can use to call your function.⏎-

  4. #4 peak

    new means for preventing such, and it’s a lot more friendly to the environment and company budgets.⏎That’s right, Siftek. It’s the new name in natural gas dehydration. At least, its creators are hoping it will be.

  5. #5 peak

    Linnaeus, Euphorbia caput-medusae. It was brought to the Netherlands between the 1700s.⏎The plant’s name, Medusa head, refers to how the crowns of its white and yellow

  6. #6 peak

    motivates me to hear more stories from people who are often called nones, people who do not claim a religion. I actually don’t care much for the name nones because it assumes that people without a religious tradition are missing something. Some

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: that in the "best of the point to point to point to point to point to point to point to point to point to point to point to point to point to point to point to point to point to point to point to point to point

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

    " >>> >>> len(s) 13 >>> >>> len("") 0 >>>⏎>>> >>> s3 = '' # empty string using single quotes >>> s3 '' >>> >>> s4 = "" # empty string using double quotes >>> s4 ''

  2. #2 peak

    the text on this page. Any software described in this text has its own copyright notice and license, which can usually be found in the distribution itself.<|endoftext|>Disin

  3. #3 peak

    God and the Holy<|endoftext|>Previous: [SVG] How to draw a rectangle?⏎<svg height="210" width="500"> <polygon points="200,10 250,190

  4. #4 peak

    stars and 13 red and white stripes to represent the original 13 colonies that broke from British rule. The stars were arranged on a blue background to represent a "new constellation." In 1795, two more stars and

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. L15:2621 excites
  2. L5:944 suppresses
  3. L15:1559 suppresses
  4. L12:1772 suppresses
  5. L8:1224 excites
  6. L14:3052 excites
  7. L10:1001 suppresses
  8. L15:2973 suppresses
  9. L9:1040 excites
  10. L11:2030 suppresses
  11. L11:2991 excites
  12. L12:1708 excites
  13. L10:2243 suppresses
  14. L15:2595 suppresses
  15. L10:809 suppresses
  16. L12:2197 excites
  17. L6:1650 suppresses
  18. L2:2118 suppresses
  19. L10:741 suppresses
  20. L15:856 excites
  21. L11:1769 weakly suppresses
  22. L8:2148 weakly excites
  23. L7:1348 weakly suppresses
  24. L3:2267 weakly excites

Feeds later layers

  1. L26:1323 excites
  2. L25:635 excites
  3. L19:1913 excites
  4. L22:1507 excites
  5. L23:1793 excites
  6. L18:2981 excites
  7. L20:766 excites
  8. L17:2480 excites
  9. L22:1311 excites
  10. L22:1976 excites
  11. L24:1138 excites
  12. L17:2186 excites
  13. L21:2820 excites
  14. L20:1740 excites
  15. L17:1271 excites
  16. L27:820 excites
  17. L17:1040 suppresses
  18. L17:2498 excites
  19. L23:626 excites
  20. L19:1378 excites
  21. L20:1462 excites
  22. L21:2555 weakly excites
  23. L25:2775 weakly suppresses
  24. L20:1898 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.

63 values between -0.71 and -0.48613 values between -0.48 and -0.251859 values between -0.25 and -0.011216 values between -0.01 and 0.2293 values between 0.22 and 0.4526 values between 0.45 and 0.689 values between 0.68 and 0.925 values between 0.92 and 1.153 values between 1.15 and 1.382 values between 1.38 and 1.624 values between 1.62 and 1.854 values between 1.85 and 2.082 values between 2.08 and 2.311 values between 2.31 and 2.552 values between 2.78 and 3.011 values between 3.48 and 3.712 values between 3.71 and 3.941 values between 6.04 and 6.271 values between 6.27 and 6.501 values between 8.36 and 8.59offnegativepositiveoften

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. 名字
  2. 名称
  3. name
  4. name
  5. 姓名
  6. 称呼
  7. names
  8. 命名
  9. 这个名字
  10. 的名字

Suppresses

  1. egral
  2. ढ
  3. /GPL
  4. aat
  5. arious
  6. lage
  7. яд
  8. 醌
  9. 与发展
  10. SourceType