Neuron Explorer

Qwen3-0.6B

first token of a text

A neuron in layer 0 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 very first token of a piece of text when that token is a line break. It does not respond to the meaning of the words, only to the start of a document. Steering with it gave unrelated text.

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

    ⏎1. n. Any one of numerous species of marine gastropods belonging to

  2. #2 peak

    ⏎- SOA services have self-describing interfaces in platform-independent XML documents. Web

  3. #3 peak

    ⏎Lin CC, Lin XM, Zou Y, Zhang L (200

  4. #4 peak

    ⏎Some people use their fridge to store everything in their kitchen. Your fridge is not

  5. #5 peak

    ⏎know much about it beyond that and couldn't find much information about⏎it on

  6. #6 peak

    ⏎First of all, let us know what is Gandhi Jayanti? We can proudly

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. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about now. I have been thinking about now. I have been thinking about now

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

    <|endoftext|>House in Space, from a NASA Remix Challenge. Credit: Cookieater20

  2. #2 peak

    <|endoftext|>10 Tips for Parents of Prospective College Students⏎1. Choosing a Career

  3. #3 peak

    <|endoftext|>Active transportation refers to non-motorized transportation modes, such as bicycling and

  4. #4 peak

    <|endoftext|>Public holidays in Pakistan are different than bank holidays in the country. While all of

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

None: this is the first layer.

Feeds later layers

  1. L1:816 strongly excites
  2. L1:883 suppresses
  3. L2:855 suppresses
  4. L2:469 excites
  5. L1:2679 excites
  6. L4:658 suppresses
  7. L1:1143 suppresses
  8. L2:674 excites
  9. L2:1306 excites
  10. L3:781 suppresses
  11. L6:2030 suppresses
  12. L6:1126 weakly excites
  13. L16:313 weakly suppresses
  14. L3:70 weakly excites
  15. L27:454 weakly excites
  16. L1:1526 weakly suppresses
  17. L21:264 weakly suppresses
  18. L21:625 weakly excites
  19. L20:1081 weakly suppresses
  20. L20:1085 weakly excites
  21. L17:1582 weakly suppresses
  22. L17:1311 weakly suppresses
  23. L6:2021 weakly excites
  24. L7:1447 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 -0.58 and -0.561 values between -0.41 and -0.392 values between -0.31 and -0.292 values between -0.29 and -0.274 values between -0.27 and -0.242 values between -0.24 and -0.223 values between -0.22 and -0.198 values between -0.19 and -0.1717 values between -0.17 and -0.1426 values between -0.14 and -0.1237 values between -0.12 and -0.0999 values between -0.09 and -0.07165 values between -0.07 and -0.05327 values between -0.05 and -0.02604 values between -0.02 and 0.00917 values between 0.00 and 0.03736 values between 0.03 and 0.05435 values between 0.05 and 0.08264 values between 0.08 and 0.10124 values between 0.10 and 0.1372 values between 0.13 and 0.1538 values between 0.15 and 0.1718 values between 0.17 and 0.202 values between 0.20 and 0.223 values between 0.22 and 0.251 values between 0.37 and 0.39offnegativepositiveoften

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. voy
  2. sterdam
  3. าย
  4. taire
  5. osite
  6. ponsive
  7. onError
  8. 탈
  9. atic
  10. ят

Suppresses

  1. 仍将
  2. $body
  3. pra
  4. 胎
  5. 风吹
  6. thor
  7. timing
  8. ⇌
  9. wheat
  10. LCS