Neuron Explorer

Qwen3-0.6B

"is" after "What" in questions

A neuron in layer 3 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 the word "is" when it comes right after "What" in a question, such as "What is pasteurization?". Turning it up didn't produce a clear change in the written text.

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

    frequently asked questions.⏎What is curling?⏎Curling is a bit like a low-speed, two-dimensional

  2. #2 peak

    fiberglass composite, plastic or aluminum. In addition to crushable brackets and a bar, bumpers sometimes incorporate polypropylene foam or formed thermoplastic.⏎What is a bumper absorber?⏎The bumper absorber is located behind the decorative plastic bumper

  3. #3 peak

    our economy. Visit America Recycles website at www.americarecyclesday.org to learn more about this subject.⏎Q: What is recycling's greatest economic benefit?⏎A: In a broad sense, recycling is part

  4. #4 peak

    , and functionality. In this article, we will delve into the main differences between microcontrollers and FPGAs, as well as their advantages and disadvantages.⏎What is a Microcontroller?⏎A microcontroller is a small computer on a single integrated circuit

  5. #5 peak

    What is the highest overlook on the rim of the Grand Canyon?⏎Point Imperial, 8

  6. #6 peak

    What is an SOFC?" sidebar below for more information), the PNNL team wanted

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 have been thinking about this one book, and I have been thinking about this one book. I have been thinking about this one book. I have been thinking about this one book. I have been thinking about this one book. I have

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

    ovsky Poland⏎Vladimir-Volynsk, Poland… Summer 1943 – Galina and Yuri Miask

  2. #2 peak

    Litovsk geve the people peace but the price was high and added to discontent causing Civil

  3. #3 peak

    emyon Alekseyevich Fedorets, commanding the 913th IAP (Istrebitel’nyy Aviatsionnyy Polk, Fighter Aviation Regiment), 32nd IAD (I

  4. #4 peak

    foods or supplements.<|endoftext|>Bagdannen, a former Mennonite congregation near Tilsit, East Prussia (now Sovetsk, Kalingrad Oblast, Russia), also called "the scattered church of

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. L1:1412 excites
  2. L1:1651 suppresses 'of' after 'full'
  3. L0:1224 suppresses
  4. L0:178 suppresses
  5. L0:1301 suppresses
  6. L2:1770 suppresses
  7. L1:1029 weakly excites
  8. L0:792 weakly excites
  9. L2:41 weakly suppresses
  10. L2:34 weakly excites
  11. L2:2328 weakly suppresses
  12. L2:1238 weakly excites
  13. L2:483 weakly suppresses
  14. L0:759 weakly suppresses
  15. L0:2580 weakly excites
  16. L0:552 weakly excites
  17. L0:2457 weakly excites
  18. L2:20 weakly suppresses
  19. L0:121 weakly excites
  20. L2:127 weakly suppresses
  21. L2:5 weakly excites
  22. L2:103 weakly suppresses
  23. L2:2746 weakly excites
  24. L2:1899 weakly excites

Feeds later layers

  1. L18:372 suppresses
  2. L4:1623 suppresses
  3. L4:800 suppresses
  4. L24:2431 suppresses
  5. L4:1473 suppresses
  6. L9:552 weakly suppresses
  7. L6:293 weakly suppresses
  8. L5:1127 weakly excites
  9. L18:2560 weakly suppresses
  10. L7:233 weakly suppresses
  11. L5:90 weakly suppresses
  12. L5:983 weakly suppresses
  13. L4:1633 weakly excites
  14. L6:2716 weakly excites
  15. L4:1375 weakly suppresses
  16. L9:815 weakly suppresses
  17. L4:609 weakly excites
  18. L12:2921 weakly suppresses
  19. L8:1266 weakly suppresses
  20. L10:486 weakly suppresses
  21. L12:102 weakly excites
  22. L26:1535 weakly suppresses
  23. L7:2245 weakly excites
  24. L12:1581 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.

1 values between -3.36 and -3.241 values between -1.59 and -1.482 values between -1.12 and -1.012 values between -0.54 and -0.4214 values between -0.42 and -0.30105 values between -0.30 and -0.18595 values between -0.18 and -0.062469 values between -0.06 and 0.05616 values between 0.05 and 0.1779 values between 0.17 and 0.2921 values between 0.29 and 0.412 values between 0.41 and 0.531 values between 1.23 and 1.35offnegativepositiveoften

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. itivity
  2. subcategory
  3. Apprec
  4. erable
  5. McC
  6. mong
  7. 优于
  8. til
  9. ulary
  10. ingly

Suppresses

  1. 委书记
  2. .spi
  3. òn
  4. inflamm
  5. _si
  6. _();⏎
  7. ysts
  8. astr
  9. äs
  10. (((