Neuron Explorer

Qwen3-0.6B

comma after a 'said' or 'answered' verb

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 fires on the comma or colon right after a speech verb like "answered", "asked" or "yelled", just before a quotation starts. Turning it up did not produce a clear change in the stories.

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

    Upon seeing the many dinosaurs displayed in the museum, the boys asked if evolutionists are right saying the dinosaurs lived tens of millions of years ago.⏎Lisle answered, "They like to believe that dinosaurs are millions of years old and that the earth

  2. #2 peak

    Stephanie looks up and nods but does not say anything. Dr. Smith introduces herself to Stephanie’s caseworker, Hannah, then turns back to Stephanie and asks, “Tell me how you have been doing over the past year, Stephanie.”⏎Step

  3. #3 peak

    to meet. The women carried signs that read, "Down with the National Conference without women!", "Stop Injustice!", and "Equal Rights!" They also shouted, "Away with the National Conference without Women!"⏎Alio resigned from the Pre

  4. #4 peak

    evolved from a banana, does it?"⏎Ryan started to wonder about how the universe began, asking Lisle, "What about the Big Bang?"⏎Lisle answered, "The Big Bang teaches<|endoftext|>Fig.1 above refer to a point moving along

  5. #5 peak

    in later.⏎It took fifteen minutes to complete the scene. When it was over, DeMille yelled, “Cut!” and turned to his assistant, all smiles. “That was great

  6. #6 peak

    dens, and birds of the sky have nests, but the Son of Man has no place to lay His head.”⏎New American Standard BibleAnd Jesus said to him, "The foxes have holes and the birds of the air [have] nests

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 best way to start is to make a great deal of. If I had to choose the best time to make it. Maybe a great deal of is a place to start." I like to think that I have been thinking about lately.

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

    if you just ask “Is your person [name]?”.⏎Players are quick to understand that by asking questions that divide the candidates into two groups, such as “is your person female?”, you can reduce the candidate pool more quickly.⏎If

  2. #2 peak

    always train new users on how to use these tools.⏎But searching tools alone are usually not enough. For example, a user might search for a term such as "Individual"⏎not knowing that you stored information about human beings under the class "Person

  3. #3 peak

    about how it is going to work, he is uncertain about it. When he is pretty sure of how it is going to work, and he tells you, "This is the way it's going to work, I'll bet," he still

  4. #4 peak

    link="none" columns="2" size="medium" ids="2568,256

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. L2:1824 weakly suppresses
  2. L1:132 weakly excites
  3. L5:2364 weakly suppresses
  4. L1:1538 weakly suppresses
  5. L4:2866 weakly suppresses the word 'average' before a quantity
  6. L4:218 weakly excites
  7. L5:2145 weakly suppresses
  8. L4:25 weakly excites
  9. L4:1824 weakly suppresses
  10. L2:209 weakly suppresses 'also' after 'not only ... but'
  11. L1:1366 weakly excites
  12. L5:404 weakly suppresses
  13. L2:1418 weakly excites
  14. L5:272 weakly suppresses
  15. L4:51 weakly suppresses
  16. L4:507 weakly suppresses
  17. L0:134 weakly suppresses
  18. L2:2662 weakly suppresses
  19. L2:193 weakly excites
  20. L4:1243 weakly suppresses
  21. L4:2495 weakly suppresses
  22. L5:2231 weakly excites
  23. L3:2652 weakly suppresses
  24. L1:2425 weakly excites

Feeds later layers

  1. L9:316 suppresses
  2. L10:1339 excites
  3. L10:778 suppresses
  4. L16:455 suppresses
  5. L15:1515 excites
  6. L7:256 suppresses
  7. L9:299 suppresses
  8. L18:478 suppresses
  9. L21:2669 weakly suppresses
  10. L11:966 weakly excites
  11. L24:2884 weakly suppresses
  12. L15:277 weakly suppresses
  13. L8:21 weakly excites
  14. L14:830 weakly suppresses
  15. L27:1748 weakly excites
  16. L11:769 weakly suppresses
  17. L12:2582 weakly suppresses
  18. L7:207 weakly excites
  19. L7:1031 weakly excites
  20. L11:1228 weakly excites
  21. L14:1111 weakly suppresses
  22. L12:8 weakly excites
  23. L15:1853 weakly suppresses
  24. L14:3053 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.

1 values between -1.69 and -1.621 values between -1.48 and -1.421 values between -1.42 and -1.351 values between -1.00 and -0.932 values between -0.86 and -0.791 values between -0.79 and -0.722 values between -0.72 and -0.652 values between -0.65 and -0.592 values between -0.59 and -0.526 values between -0.52 and -0.4514 values between -0.45 and -0.3836 values between -0.38 and -0.3176 values between -0.31 and -0.24209 values between -0.24 and -0.17438 values between -0.17 and -0.10791 values between -0.10 and -0.031233 values between -0.03 and 0.04617 values between 0.04 and 0.11276 values between 0.11 and 0.18108 values between 0.18 and 0.2552 values between 0.25 and 0.3114 values between 0.31 and 0.387 values between 0.38 and 0.451 values between 0.45 and 0.522 values between 0.52 and 0.593 values between 0.59 and 0.661 values between 0.66 and 0.733 values between 0.73 and 0.803 values between 0.80 and 0.872 values between 0.87 and 0.943 values between 1.01 and 1.07offnegativepositiveoften

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. сп
  2. ска
  3. قة
  4. Killer
  5. erged
  6. 阔
  7. ctor
  8. 肆
  9. sobre
  10. Dec

Suppresses

  1. afari
  2. 金字
  3. dział
  4. 您的
  5. 您的孩子
  6. sist
  7. columnName
  8. ABCDEFGHIJKLMNOPQRSTUVWXYZ
  9. ptom
  10. 癖