Neuron Explorer

Qwen3-0.6B

opening parenthesis after a term

A neuron in layer 19 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 lights up on an opening bracket "(" that starts a side note, such as an abbreviation, a label or a definition placed right after a word. When it was turned down, the model started writing lists of numbered brackets like "(a) (b) (c)", but turning it up made the text drift into ordinary prose.

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

    and the motionless move. Cochlear implants have been an unprecedented success in biomedical engineering (1) and may only be surpassed by the visual implants currently in development (2). The first tetraplegics with implants allowing them to move robotic

  2. #2 peak

    (1) is the curved bottom part of the nail. The mottled light and dark tissue (2) is the top part of the nail.⏎As you cut the nail deeper

  3. #3 peak

    be broken using mechanical force and so the microLEDs can be easily separated from the substrate and transferred to the final backplane.<|endoftext|>Understanding Figurative Language (Part 2)⏎This is the second article addressing the matter of distinguishing between literal

  4. #4 peak

    of mutations to improve their stability was carried out by Professor David Stuart and his team at Oxford University using Diamond Light Source, the UK's national<|endoftext|>Coronavirus (COVID-19) and travel: The situation around the world is changing dramatically

  5. #5 peak

    .⏎Because the University places a high value on academic honesty, penalties for mistakes and violations are severe.⏎How new technology helps detect cheating and plagiarism⏎The answer sheets (scantrons) used for most multiple choice exams are processed by a program called

  6. #6 peak

    integrated, engineering-level computer code that models the progression of severe accidents in light water reactor nuclear power plants. MELCOR is being developed at Sandia National Laboratories (

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: ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( (

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

    a graph has 4 vertices and the following relations exist (1,2), (1,4) and (2,3). Then the table would look

  2. #2 peak

    . Click and begin.⏎GCF and LCM by Prime Factorization⏎A straight forward way to find the greatest common factor (GCF) and least common multiple (LCM) using prime factorization. Article includes examples

  3. #3 peak

    斯羅 (사라, Sara), 徐那(伐) (서나[벌], Seona[beol]), 徐耶(伐) (서야[벌], Seoya[beol]), 徐羅(

  4. #4 peak

    is a series of cross sections of anatomical structure. In most atlases, the three dimensions are as latero-lateral (x), dorso-ventral (y) and rostro-caudal (z). Another one is a

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. L18:682 strongly suppresses
  2. L18:782 strongly suppresses
  3. L17:470 strongly excites
  4. L17:1509 excites
  5. L18:909 excites
  6. L18:2017 excites
  7. L16:2306 suppresses
  8. L8:1556 suppresses
  9. L18:2928 suppresses
  10. L18:1696 suppresses
  11. L12:498 excites
  12. L18:2674 suppresses
  13. L18:1938 excites
  14. L10:3039 excites
  15. L18:1123 suppresses
  16. L18:2941 suppresses
  17. L13:417 excites
  18. L17:465 suppresses
  19. L17:2842 suppresses
  20. L17:1614 excites
  21. L10:2947 suppresses
  22. L18:2081 suppresses
  23. L8:173 excites
  24. L14:1912 suppresses document end, then unrelated text

Feeds later layers

  1. L25:360 strongly suppresses
  2. L26:13 strongly excites
  3. L20:521 strongly suppresses
  4. L26:234 strongly suppresses
  5. L23:224 strongly suppresses
  6. L27:218 strongly suppresses
  7. L24:146 strongly suppresses
  8. L21:416 strongly suppresses
  9. L25:300 suppresses
  10. L26:378 suppresses
  11. L25:1058 suppresses
  12. L25:121 suppresses
  13. L24:673 suppresses
  14. L26:1331 suppresses
  15. L20:264 suppresses
  16. L22:317 excites
  17. L22:488 suppresses
  18. L25:2362 suppresses
  19. L27:152 suppresses
  20. L26:850 suppresses
  21. L23:107 suppresses
  22. L25:178 suppresses
  23. L25:748 excites
  24. L27:334 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.

1 values between -24.23 and -23.441 values between -18.68 and -17.891 values between -13.92 and -13.131 values between -11.54 and -10.741 values between -9.16 and -8.361 values between -8.36 and -7.571 values between -5.98 and -5.191 values between -5.19 and -4.401 values between -4.40 and -3.603 values between -3.60 and -2.817 values between -2.81 and -2.0217 values between -2.02 and -1.2245 values between -1.22 and -0.431050 values between -0.43 and 0.372685 values between 0.37 and 1.1686 values between 1.16 and 1.952 values between 1.95 and 2.753 values between 2.75 and 3.541 values between 6.71 and 7.51offnegativepositiveoften

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. ,在
  4. $r
  5. ило
  6. - ⏎
  7. “In
  8. ли
  9. лас
  10. “At

Suppresses

  1. (
  2. (
  3. (
  4. (%
  5. ('
  6. (�
  7. (⏎
  8. (.
  9. ("
  10. (“