Neuron Explorer

Qwen3-0.6B

comma after "and" joining clauses

A neuron in layer 1 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 a comma that comes right after "and" or a dash-joined "and" when a new clause starts in ordinary prose. It goes slightly negative on commas inside code parameter lists. Turning it up or down did not produce a clear theme in the replies.

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 class and helping the class become a successful place of learning.⏎The instructor presented a survey to the students on the first day about the merit of participation; and, how participation can affect the class.⏎The first function of the research plan focuses on

  2. #2 peak

    Hebrides that Columba turned his face when he accepted the terrible penance of Molaise. He bade farewell to his relatives, and, with a few monks who insisted on accompany him whithersoever he might

  3. #3 peak

    band illumination."⏎To get the performance required, however, the team needed to design a massively parallel broadband diffractive neural network for all-optical computation — and, in an example of "set a thief to catch a thief" logic, put

  4. #4 peak

    “capital of the South,” a Jet Age airport promised to put what had once been a minor railroad town within a day’s reach of London and Paris – and, in the minds of some Atlantans, on the same plane of international significance

  5. #5 peak

    measures, meant to treat illnesses caused by under nutrition; and, famishing measures, meant to treat those caused by<|endoftext|>Anorexia may be

  6. #6 peak

    stalled acceptance and implementation of this approach, however, including a high cost of investment, molasses-slow production times, confusion about the most efficient workflows – and, as a result of such concerns, an understandable reluctance on the part of clinicians and

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" (from the person's perspective, not the time). How do you know you are? What is the weather like? What is the weather like? What is the weather like? What is the weather like? What is the

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

    the other code (too tired to check who it was that posted it, and I can't see just now anyway :P)⏎void genFactorial(int x, int t)⏎int total = t; // you probably wouldn't even need total

  2. #2 peak

    flag... ] file... -lm [ library... ] #include <math.h> double ldexp(double x, int exp);⏎float ldexpf(float x, int exp);⏎long double ldexpl(long double x, int exp);⏎These functions

  3. #3 peak

    banana leaves<|endoftext|>const void * memchr ( const void * ptr, int value, size_t num );⏎void * memchr ( void * ptr, int value, size_t num );⏎Locate character in block of memory⏎Searches within the

  4. #4 peak

    The range() function returns a sequence of numbers starts from a given number to another given number with a given step.⏎It is defined as like below:⏎range(start, stop, step)⏎- start is

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. L0:1224 suppresses
  2. L0:178 suppresses
  3. L0:1301 suppresses
  4. L0:2921 weakly suppresses
  5. L0:499 weakly excites
  6. L0:792 weakly excites
  7. L0:154 weakly suppresses
  8. L0:232 weakly suppresses
  9. L0:1204 weakly suppresses
  10. L0:1520 weakly excites
  11. L0:1 weakly suppresses
  12. L0:1595 weakly suppresses
  13. L0:2862 weakly suppresses
  14. L0:1539 weakly excites
  15. L0:1207 weakly suppresses
  16. L0:2223 weakly suppresses
  17. L0:924 weakly suppresses
  18. L0:2655 weakly excites
  19. L0:829 weakly excites
  20. L0:1498 weakly excites
  21. L0:575 weakly excites
  22. L0:427 weakly suppresses
  23. L0:799 weakly suppresses
  24. L0:332 weakly suppresses

Feeds later layers

  1. L2:1881 weakly excites comma right after 'because' or 'that'
  2. L21:1232 weakly suppresses
  3. L8:67 weakly excites
  4. L2:1283 weakly suppresses
  5. L5:727 weakly suppresses
  6. L3:908 weakly excites
  7. L12:604 weakly excites
  8. L9:204 weakly suppresses
  9. L6:523 weakly suppresses
  10. L16:531 weakly excites
  11. L3:1560 weakly suppresses
  12. L5:1885 weakly suppresses
  13. L19:1663 weakly suppresses
  14. L12:1841 weakly suppresses
  15. L23:2205 weakly suppresses
  16. L23:2357 weakly suppresses
  17. L5:1592 weakly excites
  18. L2:1116 weakly excites
  19. L13:1023 weakly suppresses
  20. L23:431 weakly suppresses
  21. L17:939 weakly suppresses
  22. L6:1929 weakly excites
  23. L14:1141 weakly excites
  24. L8:1357 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.

19 values between -0.56 and -0.36255 values between -0.36 and -0.162689 values between -0.16 and 0.04864 values between 0.04 and 0.2441 values between 0.24 and 0.4413 values between 0.44 and 0.647 values between 0.64 and 0.853 values between 0.85 and 1.056 values between 1.05 and 1.253 values between 1.25 and 1.452 values between 1.45 and 1.652 values between 1.65 and 1.852 values between 2.05 and 2.251 values between 5.45 and 5.651 values between 7.26 and 7.46offnegativepositiveoften

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. PERT
  2. 𝒃
  3. DeviceInfo
  4. 服务能力
  5. пус
  6. (Device
  7. just
  8. UBE
  9. устройств
  10. incess

Suppresses

  1. orna
  2. 颜色
  3. okes
  4. isposable
  5. enberg
  6. -mail
  7. ichick
  8. xic
  9. clearColor
  10. etails