Neuron Explorer

Qwen3-0.6B

"some of" before a list

A neuron in layer 2 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 word "of" right after "some", as in "some of the" or "some of these", where a list or group is about to follow. When it was turned up, the written text did not clearly change in a readable way.

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

    minerals, fiber, and antioxidants that can help to protect against a range of diseases, including cancer, heart disease, and diabetes. Here are some of the key health benefits of broccoli:⏎- May help to reduce the risk of cancer

  2. #2 peak

    children need specific occupational, physical, speech and behavior therapy. Some of these services are provided in the school district, but not all, not always,

  3. #3 peak

    and religion, perhaps no symbol is more ambiguous and double-edged than fire. Fire symbolism can simultaneously denote illumination and purification and destruction and pain. What are some of the main meanings of fire symbolism in literature and art over the centuries?⏎Fire-symbol

  4. #4 peak

    hierarchical animated tree visualization of trace links. Figure 1 below shows the user interface.⏎This capstone project has been a tremendous learning experience. The following are some of the things that were learned over the course of the 2 quarters

  5. #5 peak

    . Some of these plants are not good neighbors, and refuse to stay in our yards, with

  6. #6 peak

    . Some of the activities include making a jester hat, learning the chivalric code,

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. I have been. I have been. I have been. I have been. I have been. I have been. I have been. I have been. I have been. I have been. I have been.

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

    gum disease, and tooth loss. Here are some tips on how to take care of teeth.⏎1. Brush

  2. #2 peak

    to help improve the stability, function and health of an individual's teeth; otherwise, many people would be at higher risk for gum disease, tooth decay and tooth loss because of improper teeth positioning in their mouth,

  3. #3 peak

    covers the teeth and causes yellowing. When this plaque isn’t removed, gingivitis can advance to periodontitis, which can attack bone and cause tooth loss. The ideal candidate for gingivitis treatment with Dr. Boulard is

  4. #4 peak

    FC) have developed a very thin, flexible supercapacitor with high energy density.⏎The team from UCF's NanoScience Technology Center figured out a way to use two-dimensional materials as super

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. L1:1623 excites
  2. L1:991 excites
  3. L1:992 weakly excites
  4. L1:2446 weakly excites
  5. L1:685 weakly excites
  6. L0:1017 weakly suppresses
  7. L1:2835 weakly excites
  8. L1:800 weakly suppresses
  9. L1:2340 weakly suppresses
  10. L1:2732 weakly excites
  11. L1:2431 weakly excites
  12. L0:1305 weakly suppresses
  13. L0:186 weakly excites
  14. L1:1583 weakly excites
  15. L1:2708 weakly excites
  16. L1:2372 weakly excites
  17. L1:146 weakly excites
  18. L1:2616 weakly suppresses
  19. L1:2447 weakly suppresses
  20. L0:1059 weakly suppresses
  21. L0:2831 weakly excites
  22. L1:330 weakly excites
  23. L1:1510 weakly suppresses
  24. L1:2392 weakly excites

Feeds later layers

  1. L7:885 excites
  2. L13:2296 weakly suppresses
  3. L5:1413 weakly suppresses
  4. L22:1275 weakly excites
  5. L11:2158 weakly suppresses
  6. L5:285 weakly excites
  7. L12:2666 weakly excites
  8. L18:327 weakly suppresses
  9. L4:148 weakly excites
  10. L16:2310 weakly excites
  11. L19:2439 weakly excites
  12. L18:364 weakly excites
  13. L3:177 weakly excites
  14. L20:2307 weakly suppresses "some" in "some kind" and "at some point"
  15. L3:124 weakly excites
  16. L25:1891 weakly excites
  17. L13:474 weakly excites
  18. L19:393 weakly excites
  19. L4:121 weakly excites
  20. L5:78 weakly suppresses
  21. L20:263 weakly excites
  22. L27:557 weakly excites
  23. L19:1538 weakly excites
  24. L19:2303 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 -0.89 and -0.821 values between -0.82 and -0.761 values between -0.76 and -0.702 values between -0.64 and -0.573 values between -0.45 and -0.392 values between -0.39 and -0.3226 values between -0.32 and -0.2664 values between -0.26 and -0.20195 values between -0.20 and -0.13412 values between -0.13 and -0.07986 values between -0.07 and -0.011420 values between -0.01 and 0.05466 values between 0.05 and 0.12192 values between 0.12 and 0.1882 values between 0.18 and 0.2425 values between 0.24 and 0.3110 values between 0.31 and 0.377 values between 0.37 and 0.433 values between 0.43 and 0.491 values between 0.49 and 0.564 values between 0.56 and 0.621 values between 0.62 and 0.681 values between 0.68 and 0.741 values between 1.12 and 1.181 values between 1.18 and 1.251 values between 1.56 and 1.62offnegativepositiveoften

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. zel
  2. ViewItem
  3. organic
  4. 部副部长
  5. ificant
  6. einz
  7. GetMessage
  8. 쩍
  9. 石
  10. atica

Suppresses

  1. ervations
  2. enarios
  3. üyor
  4. ersions
  5. elian
  6. arsing
  7. 苴
  8. points
  9. iyor
  10. erties