Neuron Explorer

Qwen3-0.6B

unclear: evaluative or explanatory phrase words

A neuron in layer 8 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron fires on words inside sentences that comment on or explain something, such as 'isn't it amazing how', 'how cool is that', 'this means that' and 'in fact'. The pattern is loose, and turning it up did not clearly change the model's writing.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

    of goals and check them off as you complete them. This could help you be more responsible in school.⏎- Another use of cell phones – Isn't it amazing how many features there are on a cell phone? Not just for staying in touch–

  2. #2 peak

    meta directing. The halogens<|endoftext|>I didn’t know I had access to the entire back catalog of The New York Times through my library card. How cool is that!⏎New unhealthy obsession: reading the front page of the newspaper on this day in

  3. #3 peak

    pas I have seen from people’s PowerPoint presentations is the simple copy and paste job from their speech. Your speech should be on palm cards or in Presenter View (see below), not up on your presentation. The key for a successful presentation is that

  4. #4 peak

    are many reasons to switch to solar mobile power sources. The first reason is that solar energy is a renewable resource. This means that it will never run out and we can rely on it for our energy needs.

  5. #5 peak

    before cooking.⏎- Always keep an eye on what you’re grilling.⏎- Do not use spray bottles of water to control flare-ups, as this will only make the fire worse. Flare-ups are caused by too much fat and too much

  6. #6 peak

    at the very front of the vehicle, below the front grille. …⏎- Bumper End. Bumper ends are an important addition to the bumper itself. …⏎- Valance Panel. …⏎- Inner

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 idea of a single parent, a child with a name, and the concept of a parent who is not a single parent but a mother. This is a common issue. Now, I need to think about this again to make it part

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

    building cells and hormones that regulate the immune system’s response to infection, such as the way it reacts by making white blood cells that fights bacterias. The secret is to choose your fats wisely and opt for unsaturated vegetable fats rather than saturated ones

  2. #2 peak

    , and was busy trying to understand the “zoo” of hadronic particles that were being discovered in the 1960’s. (Side note: Zweig pointed out today that at the time there were

  3. #3 peak

    to sort the columns together.] Use an F test (on pages A-2 and A-3 of your Class Notes book). (You are advised NOT to use the Two-sample F-test in the Analysis Toolpak. Do the problem using simple

  4. #4 peak

    0 degrees indicates that the camera angle was parallel to the local surface and negative values indicate that the surface was invisible to the camera. As a rule of thumb,

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. L7:610 excites
  2. L7:332 excites
  3. L7:503 suppresses
  4. L7:567 excites
  5. L7:301 excites
  6. L7:801 suppresses words after 'as though' or 'as if'
  7. L7:837 suppresses
  8. L7:2235 excites
  9. L7:542 excites
  10. L7:667 suppresses
  11. L7:2652 excites
  12. L7:620 excites
  13. L6:1086 excites
  14. L7:80 weakly suppresses
  15. L7:975 weakly excites
  16. L6:646 weakly excites
  17. L7:61 weakly suppresses
  18. L7:94 weakly excites
  19. L7:422 weakly excites
  20. L7:380 weakly suppresses
  21. L7:333 weakly suppresses
  22. L6:78 weakly suppresses
  23. L6:790 weakly suppresses
  24. L6:2534 weakly excites

Feeds later layers

  1. L9:375 strongly excites
  2. L9:690 suppresses
  3. L9:2788 excites
  4. L10:755 excites
  5. L13:969 suppresses
  6. L12:849 suppresses
  7. L9:2000 suppresses
  8. L11:1234 suppresses
  9. L10:605 excites
  10. L9:359 suppresses
  11. L10:1045 suppresses
  12. L10:555 suppresses
  13. L12:116 excites
  14. L12:1900 excites end of document boundaries
  15. L13:414 suppresses
  16. L9:2081 suppresses
  17. L10:1027 suppresses
  18. L14:2479 suppresses
  19. L11:480 weakly excites
  20. L9:490 weakly excites
  21. L12:1439 weakly suppresses
  22. L9:113 weakly suppresses
  23. L12:580 weakly excites
  24. L11:405 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 -1.45 and -1.353 values between -1.25 and -1.153 values between -1.15 and -1.062 values between -1.06 and -0.963 values between -0.96 and -0.864 values between -0.86 and -0.767 values between -0.76 and -0.666 values between -0.66 and -0.5720 values between -0.57 and -0.4731 values between -0.47 and -0.3766 values between -0.37 and -0.27126 values between -0.27 and -0.17419 values between -0.17 and -0.081653 values between -0.08 and 0.02896 values between 0.02 and 0.12340 values between 0.12 and 0.22145 values between 0.22 and 0.3285 values between 0.32 and 0.4137 values between 0.41 and 0.5116 values between 0.51 and 0.6113 values between 0.61 and 0.719 values between 0.71 and 0.814 values between 0.81 and 0.905 values between 0.90 and 1.007 values between 1.00 and 1.102 values between 1.20 and 1.291 values between 1.29 and 1.392 values between 1.39 and 1.491 values between 2.37 and 2.47offnegativepositiveoften

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. ORIZED
  2. ogie
  3. oleon
  4. olicy
  5. ewire
  6. Musk
  7. oy
  8. iever
  9. olicies
  10. gie

Suppresses

  1. maal
  2. McCart
  3. heard
  4. —they
  5. ?>'
  6. 因为他们
  7. "')
  8. Chatt
  9. them
  10. 椽