Neuron Explorer

Qwen3-0.6B

opening parenthesis after a noun

A neuron in layer 5 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 comes straight after a noun, where the text is about to add a short aside such as a definition, an abbreviation or an example. Turning it up made the model drift into loose text with brackets, but no clear theme came out.

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

    the Terrible till this day, Russia has been trying to present itself to the Western power as the perfect economic trading partner. Moscow insists that “small states” (Poland, Ukraine, etc.) are basically the

  2. #2 peak

    .⏎A post-cubist squarist artwork is painted on a rectangular grid, in which each grid cell is either coloured or blank. Two adjacent coloured cells (vertically or horizontally, not diagonally) are connected, and a shape is

  3. #3 peak

    to prevent transmission of infectious agents from one person to another. Needles should be disposed of properly and not recapped.⏎It is recommended that small syringes (0.5 mL or 1 mL) should be used to minimize any product

  4. #4 peak

    Cosway, Rhys’ take on Bertha Mason, the mad wife of Mr. Rochester in Brontë's classic. Although now hailed as a masterpiece (TIME magazine named it among the 100 best English-language novels since

  5. #5 peak

    materials is creating big data.⏎Take, for example, the emergence of Moocs – massive open online courses. While some universities (and indeed some individual faculty) are offering Moocs, new entrants to the

  6. #6 peak

    the sinewy chromatic theme, the foreboding against the triumphant. At the very outset, Elgar pens one of his most stately melodies (he already had four of the five “Pomp and Circumstance” marches

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 am a student and I have a lot of time and money. Then is here the time and here the day and the year, Okay, so I see that I have to think about this, that and that I and

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

    Col. Stand Watie, with one regiment of Cherokees, to move into the neutral land

  2. #2 peak

    conuts and banana leaves<|endoftext|>const void * memchr ( const void * ptr, int value, size_t num );⏎void * memchr

  3. #3 peak

    . Jose Rizal made patriotic annotations on Morga<|endoftext|>Early in the 14th century the Turkish tribal chieftain Othman (Osman) founded an empire in western Anatolia (Asia Minor) that was to endure

  4. #4 peak

    raspberry', 'pomegranite', 'bananana', 'grape', 'loganberry'] print "You are an" , random.choice (verb) , random.choice (fruit)⏎Any Tutorial Videos?<|endoftext|>What is global

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 excites
  2. L4:64 excites
  3. L4:2309 excites
  4. L4:25 excites
  5. L4:1377 suppresses
  6. L0:734 weakly suppresses
  7. L4:1658 weakly excites
  8. L3:421 weakly suppresses
  9. L1:2265 weakly suppresses
  10. L4:19 weakly suppresses
  11. L0:355 weakly suppresses
  12. L0:2604 weakly suppresses
  13. L3:186 weakly suppresses
  14. L4:245 weakly excites
  15. L1:765 weakly suppresses
  16. L4:182 weakly suppresses
  17. L4:45 weakly suppresses
  18. L3:1665 weakly suppresses
  19. L4:2025 weakly suppresses
  20. L3:328 weakly suppresses
  21. L3:2140 weakly suppresses
  22. L4:97 weakly suppresses
  23. L1:505 weakly excites
  24. L3:1258 weakly excites

Feeds later layers

  1. L16:1513 excites opening parenthesis before a numbered list
  2. L9:1414 excites opening parenthesis after copyright or year
  3. L19:453 excites
  4. L16:264 excites opening parenthesis in citations and asides
  5. L10:66 excites opening parenthesis after a citation or term
  6. L13:608 excites opening parenthesis starting an aside
  7. L15:1570 excites
  8. L12:2745 excites
  9. L16:2289 excites 'or' linking two alternatives
  10. L17:304 excites opening parenthesis after a claim
  11. L12:878 weakly excites
  12. L12:2803 weakly excites
  13. L6:65 weakly excites
  14. L7:685 weakly excites
  15. L18:682 weakly excites
  16. L12:1443 weakly excites opening parenthesis after a name or term
  17. L19:2251 weakly excites opening parenthesis after a name
  18. L20:722 weakly excites
  19. L6:2453 weakly excites
  20. L19:2867 weakly excites unclear: 'or something' and open parentheses
  21. L15:2486 weakly excites bracket or parenthesis inside a quote
  22. L15:2559 weakly excites opening parenthesis after a term
  23. L12:819 weakly suppresses
  24. L14:1893 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.

2 values between -1.02 and -0.841 values between -0.84 and -0.668 values between -0.66 and -0.48122 values between -0.48 and -0.31887 values between -0.31 and -0.132198 values between -0.13 and 0.05582 values between 0.05 and 0.2364 values between 0.23 and 0.4122 values between 0.41 and 0.593 values between 0.59 and 0.761 values between 0.76 and 0.942 values between 1.12 and 1.301 values between 1.30 and 1.481 values between 2.01 and 2.191 values between 2.72 and 2.901 values between 2.90 and 3.081 values between 3.08 and 3.262 values between 3.79 and 3.972 values between 3.97 and 4.151 values between 4.15 and 4.332 values between 4.51 and 4.682 values between 4.86 and 5.041 values between 5.04 and 5.221 values between 5.93 and 6.11offnegativepositiveoften

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. ),⏎
  8. ""),⏎
  9. ),⏎⏎
  10. ""),

Suppresses

  1. DATA
  2. ющим
  3. started
  4. @Data
  5. pid
  6. heid
  7. 混合
  8. 一步
  9. MIX
  10. Lexington