Neuron Explorer

Qwen3-0.6B

opening parenthesis after a claim

A neuron in layer 17 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 an opening bracket "(" that starts an aside, a citation or an explanation right after a statement. Turning it down made the model spam brackets and dashes, and turning it up made it write stray brackets and odd parenthetical asides.

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

    purchase of a lottery ticket cannot be rationally accounted for by decision models based on expected value maximization, because the expected value of a lottery ticket is always zero (or close to it). However, the non-monetary benefits obtained from playing the

  2. #2 peak

    yes/no” is perfectly adequate. This is not the case with a feature that has a specific tolerance i.e.: a nominal and an upper and lower spec limit (1.0 +/- .005). It might be tempting to put a

  3. #3 peak

    Charged Issue⏎One reason this is such attractive fodder for cable news shows is that the Waxman Markey bill is a politically-charged social and economic issue (which pretty much guarantees it will bring out strong opinions here, no matter

  4. #4 peak

    of discrimination? “Currently, the prison is the nation’s most racialized type of real estate (Robertson, 2006).” Many inmates must participate in the

  5. #5 peak

    will be particularly difficult when urbanization requires genetic adaptations, having implications for urban species diversity.⏎The rapid growth in urban development and increasing concentration of people in these areas (Cohen 2003; UN 20

  6. #6 peak

    carry one or two computers with us at all times. The present is called the Information Age precisely because our brains can delegate a lot of information storage and distribution indirectly (through our fingertips) to electronic devices. And it isn’t as if the possibilities

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: ( ( -1/2 -1/2 -1/2 -1/2 -1-1-1-1-1-1-1-1-1-1-1-1-1-1-1

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

    Nurses Association - (NBNA) Welcome - Dedicated⏎advancement of African-American nurses and improving the healthcare

  2. #2 peak

    one eye sees one image and the other eye, the other. By having the two layered images at slighlty different ‘angles’, in effect, (special cameras need to be used to create these

  3. #3 peak

    conditions can also cause loss of appetite in seniors. These include:⏎- Dementia or Alzheimer’s disease. As dementia progresses, it’s common for both appetite and weight loss to occur.⏎

  4. #4 peak

    chures⏎- Market Trends⏎- Material Properties Charts⏎- List Rental⏎- Custom Content & Marketing Services⏎Imagine stepping outside for a breath of fresh air-and encountering 3 billion tons of air pollution. According to the Manufacturers of Emission

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. L3:57 strongly excites
  2. L16:264 suppresses opening parenthesis in citations and asides
  3. L4:64 excites
  4. L10:66 suppresses opening parenthesis after a citation or term
  5. L6:468 excites
  6. L0:1622 excites
  7. L0:11 excites
  8. L11:50 excites
  9. L8:770 excites
  10. L1:102 excites
  11. L4:45 suppresses
  12. L5:275 excites
  13. L10:1041 suppresses opening parenthesis before phone or code
  14. L6:547 suppresses
  15. L0:1252 suppresses
  16. L8:354 excites opening parenthesis before a citation year
  17. L16:1143 suppresses
  18. L6:13 excites
  19. L5:330 excites opening parenthesis after a noun
  20. L15:82 weakly suppresses
  21. L10:142 weakly suppresses opening parenthesis mid-sentence
  22. L16:428 weakly excites unclear: mid-sentence commas, 'most' before a verb
  23. L5:2795 weakly excites
  24. L15:114 weakly excites

Feeds later layers

  1. L19:453 strongly excites
  2. L20:2173 strongly excites
  3. L18:1501 strongly suppresses
  4. L25:360 suppresses
  5. L23:224 suppresses
  6. L20:104 suppresses
  7. L18:721 excites opening parenthesis after a word
  8. L20:521 suppresses
  9. L18:980 excites opening parenthesis after a noun phrase
  10. L24:68 excites
  11. L19:2251 excites opening parenthesis after a name
  12. L26:13 excites
  13. L20:1451 excites
  14. L20:1841 excites opening parenthesis before a citation
  15. L26:234 suppresses
  16. L27:218 suppresses
  17. L18:682 excites
  18. L20:758 suppresses
  19. L27:1463 excites
  20. L19:1864 excites
  21. L26:88 excites
  22. L24:102 suppresses
  23. L19:889 excites
  24. L18:1247 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.

116 values between -2.04 and -1.231686 values between -1.23 and -0.422076 values between -0.42 and 0.395 values between 0.39 and 1.202 values between 1.20 and 2.002 values between 2.00 and 2.811 values between 2.81 and 3.622 values between 3.62 and 4.432 values between 6.04 and 6.851 values between 10.08 and 10.891 values between 11.69 and 12.501 values between 13.31 and 14.121 values between 14.12 and 14.921 values between 18.15 and 18.961 values between 19.77 and 20.581 values between 20.58 and 21.381 values between 21.38 and 22.193 values between 24.61 and 25.421 values between 26.23 and 27.041 values between 27.84 and 28.652 values between 28.65 and 29.461 values between 29.46 and 30.27offnegativepositiveoften

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. .*)
  3. .*?)
  4. );⏎
  5. ,),⏎
  6. ,),
  7. 惩戒
  8. ); ⏎
  9. culus
  10. );⏎⏎

Suppresses

  1. "](
  2. (
  3. `](
  4. (
  5. (
  6. (ib
  7. (
  8. "(
  9. Gle
  10. '](