Neuron Explorer

Qwen3-0.6B

unclear: mixed word fragments, no shared theme

A neuron in layer 27 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 does not respond to one clear thing. Its strongest moments land on scattered pieces of words in very different texts, such as a comma in a quoted phrase, a part of a medicine name, or the name of a court case. When it was turned down, the model kept repeating the letter 'v', and when it was turned up, the writing simply changed topic.

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

    you tell me about what you did here?” Dana's response: “Car, vroom.”⏎Repeat and perhaps add to her comment. For example:⏎“Car, vroom! Your blue car goes vroom when you drive it. I can

  2. #2 peak

    before administering the vaccine and shake the multidose vial preparation each time before withdrawing a dose of vaccine.⏎Inspect FLUVIRIN® syringes and multidose vials visually for particulate matter and/or discoloration prior to administration [

  3. #3 peak

    are given by⏎v=Vm sin ωt and i = I m sin( ω t + φ)⏎where ϕ is the phase angle between υ and i. The instantaneous

  4. #4 peak

    LOCAL VARIABLE vh.The lOCAL VARIABLE v is assigned this value.Thus LOCAL VAR. v is detached from the original object it was pointing to and now LOCAL VAR. v and vh point to same object.Since vh is a new obj. instance

  5. #5 peak

    ). Poet Sekkizhar (992-1042) describes the town as "vanga malik kadar karaikal", the 'Karaikal of many vessels on the coast' in his Peria pur

  6. #6 peak

    012⏎|License||Verified by||Verified on||Notes|⏎|GPLv2||Kelly Hopkins||6 December 2011|⏎|GPLv3orlater||Kelly Hopkins||29 January 2010

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: v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v

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

    species into the skin.⏎Common diagnoses treated with iontophoresis include plantar fasciitis, bursitis, lateral and medial epicondylitis (commonly referred to as tennis elbow and golfer's elbow

  2. #2 peak

    clearly; or inability to control urination.⏎Your doctor will give you the manufacturer's patient information sheet (Medication Guide) when you begin treatment with onabotulinumtoxinA injection and each time you receive

  3. #3 peak

    of differently sized, shaped and colored spherical elements that need to be twisted against the central axis in order to disassemble and fully reassemble the toy. It consists of an outer round layer (

  4. #4 peak

    -2 hours depending on the size of your jar. A full melt pool will reach a depth of 1/2 inch. This will allow the fragrance to disperse more completely into the room. (Remember burn your candles for a maximum 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

  1. L26:1747 strongly suppresses
  2. L24:2792 strongly suppresses
  3. L22:1337 strongly excites
  4. L26:1248 strongly excites
  5. L25:515 strongly excites
  6. L24:795 suppresses
  7. L26:1634 suppresses
  8. L26:1564 excites
  9. L18:569 excites
  10. L24:1056 suppresses
  11. L24:2535 excites
  12. L24:469 excites
  13. L8:7 excites
  14. L23:2177 excites
  15. L23:2830 suppresses
  16. L25:225 excites
  17. L23:2936 weakly suppresses
  18. L8:14 weakly excites
  19. L25:526 weakly suppresses
  20. L20:2843 weakly excites
  21. L5:91 weakly excites
  22. L26:1273 weakly suppresses
  23. L11:2 weakly suppresses unclear: blank before a year or number
  24. L7:122 weakly excites

Feeds later layers

None: this is the last layer.

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 -15.00 and -14.521 values between -12.62 and -12.141 values between -11.67 and -11.191 values between -10.72 and -10.241 values between -10.24 and -9.761 values between -9.29 and -8.811 values between -8.81 and -8.342 values between -8.34 and -7.862 values between -7.38 and -6.914 values between -6.43 and -5.961 values between -5.48 and -5.006 values between -5.00 and -4.533 values between -4.53 and -4.052 values between -4.05 and -3.583 values between -3.58 and -3.1011 values between -3.10 and -2.639 values between -2.63 and -2.1513 values between -2.15 and -1.6746 values between -1.67 and -1.2025 values between -1.20 and -0.7232 values between -0.72 and -0.25484 values between -0.25 and 0.231440 values between 0.23 and 0.711209 values between 0.71 and 1.18514 values between 1.18 and 1.6673 values between 1.66 and 2.1418 values between 2.14 and 2.612 values between 2.61 and 3.091 values between 3.56 and 4.04offnegativepositiveoften

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. üler
  3. 榴
  4. ışı
  5. 觚
  6. ียม
  7. phanumeric
  8. eker
  9. 去买
  10. iffies

Suppresses

  1. v
  2. v
  3. (v
  4. [v
  5. =v
  6. $v
  7. )v
  8. >v
  9. →v
  10. *v