Neuron Explorer

Qwen3-0.6B

the digit '1' starting a year

A neuron in layer 23 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

The neuron fires on the digit '1' when it begins a year from the 1600s to 1700s, such as 1762 or 1775, in historical text. Its negative side fires on the letter J in Java terms. Turning it up gave odd, unrelated text about Java and repeated nonsense words, so the steering does not show the year idea clearly.

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

    on a wall as decoration.⏎Georges Keating (Irish, 1762–1842), after Joshua Reynolds (English, 1723–179

  2. #2 peak

    Journal of Business Research, 67(8), 1595-1600. http://dx.doi.org/10.1016/j.jbusres.2013.10.

  3. #3 peak

    key audiences (graduate students, faculty, postdoctoral scholars, administrators, organizations) served.⏎John Locke ‘s work Some Thoughts Regarding Education was written in 1693 and still reflects conventional education priorities in the Western globe. Every youngster

  4. #4 peak

    Undergraduate and Master 's degrees. After receiving his degrees he became a faithful lawyer and was chosen to help draft the Declaration of Independence in the year of 1774 while also serving on the first Continental Congress. In the year

  5. #5 peak

    the restoration of grassland butterfly communities: a multi-site assessment. Biological Conservation, 155. 50-58. 10.1016/j.biocon.2012.05.0

  6. #6 peak

    farm in Massachusetts for the Continental Congress in Philadelphia. Doesn’t sound particularly interesting, I know but consider this.⏎John Adams left his home in mid-December 1775 to<|endoftext|>For whatever reason, a lot of people have a natural

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: A class of 24 people, with 30 J1s, 42 J2s, and 51 J3s. 11 J1s and 42 J2s are J1s

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

    Java environment so a Java runtime environment like JRun 3.0 will know what to do with such tags as they're recognized. Tag libraries are usually packaged as Java archives

  2. #2 peak

    , fully updated and expanded⏎to cover Java SE 17 (JDK 17).⏎Whether you're an experienced pro or just starting out,

  3. #3 peak

    also⏎examined. The final chapter provides an⏎introduction to Swing, Java's popular GUI framework.. As an added bonus, an⏎introduction to JShell, Java's interactive programming tool, is included.⏎|Introducing JavaFX

  4. #4 peak

    ⏎to Swing, Java's popular GUI framework. In addition, beans⏎are examined and servlets are introduced. As an added⏎bonus, an introduction to JShell, Java's interactive programming⏎tool, is included.⏎|Java: 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. L21:448 strongly excites
  2. L20:431 strongly suppresses
  3. L9:195 suppresses
  4. L17:343 suppresses
  5. L20:642 excites
  6. L3:88 suppresses
  7. L3:483 suppresses
  8. L21:546 excites
  9. L22:567 excites
  10. L4:368 excites
  11. L6:378 suppresses
  12. L0:1559 excites
  13. L2:735 suppresses colon after a metadata label
  14. L20:1954 weakly excites
  15. L20:936 weakly suppresses
  16. L22:2695 weakly suppresses
  17. L21:328 weakly excites
  18. L0:2573 weakly excites
  19. L8:166 weakly suppresses
  20. L16:496 weakly excites
  21. L13:420 weakly excites
  22. L22:2956 weakly excites
  23. L9:413 weakly excites
  24. L0:2794 weakly excites

Feeds later layers

  1. L24:1174 suppresses
  2. L27:855 suppresses
  3. L24:1850 suppresses
  4. L25:416 suppresses
  5. L26:713 suppresses
  6. L25:1461 suppresses
  7. L24:2563 suppresses
  8. L27:834 suppresses
  9. L25:1298 suppresses
  10. L24:1942 suppresses
  11. L26:1014 weakly suppresses
  12. L27:1689 weakly suppresses
  13. L24:867 weakly suppresses
  14. L25:1439 weakly suppresses
  15. L25:2374 weakly suppresses
  16. L26:1517 weakly suppresses
  17. L25:496 weakly suppresses
  18. L24:1234 weakly suppresses
  19. L25:2553 weakly suppresses
  20. L25:794 weakly excites
  21. L24:478 weakly suppresses word fragment inside a longer word
  22. L24:1487 weakly suppresses
  23. L25:133 weakly suppresses
  24. L27:909 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.

1 values between -31.20 and -30.111 values between -5.07 and -3.982 values between -3.98 and -2.893 values between -2.89 and -1.8047 values between -1.80 and -0.723560 values between -0.72 and 0.37278 values between 0.37 and 1.466 values between 1.46 and 2.552 values between 2.55 and 3.642 values between 3.64 and 4.732 values between 4.73 and 5.821 values between 9.09 and 10.171 values between 10.17 and 11.262 values between 11.26 and 12.35offnegativepositiveoften

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. LError
  2. ngắn
  3. 触れ
  4. obra
  5. ictim
  6. -season
  7. 급
  8. lời
  9. SUP
  10. akah

Suppresses

  1. 朱
  2. J
  3. J
  4. jsp
  5. JP
  6. jar
  7. JP
  8. JA
  9. _j
  10. JC