Neuron Explorer

Qwen3-0.6B

split-off 's' starting a word

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 a single 's' that starts a word after a bracket or a break, such as the 's' in '(saying' or '[s]aw', where the word has been split. Its negative side is the 's' at the end of a plural, such as 'Bottoms' or 'POPs'. Turning it up or down did not give a clear change in the model's writing.

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

    ab), a teacher from the fabled land of Olmo-lungring (‘Ol-mo lung-ring) on the eastern edge of Tagzig (sTag-gzig), who brought it to Zhang-zhung (Zhang-zhung

  2. #2 peak

    , as it was not possible to go across country,⏎equipment had to be man-handled from this point. "B" and "C" Batteries⏎saw plenty of action and subdued several machine gun nests that were holding⏎up the

  3. #3 peak

    But that doesn't mean you can't teach your 2-year-old to respect others. Begin with the basics (saying "please" and "thank you"), then try these six other strategies.

  4. #4 peak

    baobab, cowpeas, amaranth, vine spinach, Ethiopian kale, pumpkin leaves, spider plant and hibiscus.⏎Kale (sukuma wiki) is now the most common vegetable in Kenya.<|endoftext|>By Guest

  5. #5 peak

    ENTAL CELEBRATION OF THE PASCHAL MYSTERY⏎The catechesis of the liturgy entails first of all an understanding of the⏎sacramental economy (Chapter One). In this light, the innovation of its

  6. #6 peak

    placed there for fire protection) provided the source of water. Using three hoses at once, the pump sent the three streams of water over the United States Hotel (southeast corner

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 number of the number of the number of the number of the number of the number of the number of the number of the numbers. So, it's, it's, it's, it's, it's, it's, it

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

    how is it still living if it’s gone?⏎It was home to teachers, farmers, horsemen, and Kentucky civil rights leader Jesse Bottoms.⏎Located off US 60 and the Bluegrass Parkway, Huntertown was

  2. #2 peak

    codeine. Examples of POPs are mercury, fire retardants (polybrominated diphenyl ether or

  3. #3 peak

    you<|endoftext|>Today, existing insulin pumps are about the size of a pager. The new ST- enabled Debiotech miniaturized MEMS device is about one quarter the size of these existing pumps and can be worn as

  4. #4 peak

    .aei.org/publication/the-omnivores-delusion-against-the-agri-intellectuals/⏎Leave a ReplyWant to join the discussion?⏎Feel free to contribute!<|endoftext|>

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. L5:2594 weakly suppresses
  2. L14:2556 weakly excites
  3. L26:485 weakly excites
  4. L14:497 weakly excites
  5. L1:1575 weakly suppresses
  6. L5:2717 weakly excites
  7. L17:2736 weakly excites
  8. L8:1260 weakly suppresses
  9. L24:2544 weakly suppresses
  10. L7:1803 weakly suppresses
  11. L27:2428 weakly suppresses
  12. L7:2896 weakly suppresses
  13. L14:1735 weakly suppresses
  14. L19:1707 weakly excites
  15. L2:1683 weakly excites
  16. L6:248 weakly suppresses
  17. L20:1149 weakly excites
  18. L6:2534 weakly excites
  19. L19:146 weakly suppresses
  20. L9:720 weakly suppresses
  21. L17:1335 weakly excites
  22. L19:249 weakly suppresses
  23. L6:957 weakly excites
  24. L18:681 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 -0.67 and -0.631 values between -0.63 and -0.601 values between -0.52 and -0.481 values between -0.48 and -0.442 values between -0.36 and -0.321 values between -0.28 and -0.254 values between -0.25 and -0.219 values between -0.21 and -0.1724 values between -0.17 and -0.1372 values between -0.13 and -0.09218 values between -0.09 and -0.05839 values between -0.05 and -0.012014 values between -0.01 and 0.03447 values between 0.03 and 0.07161 values between 0.07 and 0.1159 values between 0.11 and 0.1524 values between 0.15 and 0.1811 values between 0.18 and 0.226 values between 0.22 and 0.262 values between 0.26 and 0.302 values between 0.30 and 0.342 values between 0.34 and 0.382 values between 0.38 and 0.421 values between 0.42 and 0.461 values between 0.46 and 0.502 values between 0.85 and 0.89offnegativepositiveoften

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. ">-->⏎
  2. ounded
  3. riendly
  4. offee
  5. oom
  6. amble
  7. Physical
  8. iated
  9. physical
  10. PUTE

Suppresses

  1. kin
  2. recomm
  3. ść
  4. 缘
  5. LEY
  6. ELY
  7. adh
  8. 库
  9. 牵
  10. ker