Neuron Explorer

Qwen3-0.6B

unclear: asterisk symbols in mixed text

A neuron in layer 26 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

It fires on a stray asterisk or star mark, especially where a new line or section begins. The examples are very mixed, so it is hard to say what the neuron is really for. Turning it up made the model ramble and sometimes repeat itself.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

    is minimally. In this movement quantum of light behave as a corpuscular (no charge). b) Using its own inner impulse / intrinsic angular momentum ( h* = h / 2pi ) circle - particle rotates around its axis. In

  2. #2 peak

    and height of the previous svg, and its default value is 300*150.⏎- And this time we must define the width and height of

  3. #3 peak

    much weight,<|endoftext|>Modern China (HIST*3320)⏎Code and section: HIST*3320

  4. #4 peak

    an alpha of 10%. Show your hypotheses, calculation of F* using Excel, and either the critical F value(s) or p-value, calculated

  5. #5 peak

    goats eat strawberries”. There is much we can talk about this topic, hence, let’s spend some time reading the article and find out the fully explained answer.⏎*This post may have affiliate links, which means I may receive commissions if you choose

  6. #6 peak

    When, by chance, sodium and chlorine ions are deposited into a body of water with no outlet the positively charged sodium ions will be attracted to the negatively charged<|endoftext|>* By Steph Ellen, eHow Contributor⏎* When it is not possible to study

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:///// /u/eniationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiationiation

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

    3) attending music-oriented and regular fourth grades were tested. The stimuli were two semisynthetic pseudo words /ty:ti/ and /tʉ:ti/ with the native vowel /y/ and the non-native vowel /ʉ/

  2. #2 peak

    that your search path for⏎cd starts from one of those folders.⏎For example, I spend a lot of time working in⏎/var/www. Instead of typing⏎cd /var/www/example.com all the time, I want to be able to

  3. #3 peak

    , httpd, nfsd, sshd, named, and lpd.⏎How to pronounce daemon His Dark Materials?⏎a demon (/ˈdiːmən/listen)) is a type of fictional being in Philip Pullman's fantasy trilogy

  4. #4 peak

    terminal window (Applications > Accessories > Terminal) and navigate to the newly mounted drive. All mounted drives should be in /media, so we’ll use the command⏎and then type the first few letters of our difficult-to-type drive, press tab

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. L20:2217 strongly suppresses 'trying' after 'were' or 'are'
  2. L18:1474 strongly suppresses
  3. L2:1724 suppresses
  4. L20:111 suppresses
  5. L24:593 suppresses
  6. L16:43 excites
  7. L20:190 excites
  8. L16:61 excites
  9. L25:413 suppresses
  10. L16:1304 excites
  11. L16:83 suppresses
  12. L18:123 suppresses
  13. L16:127 suppresses
  14. L16:96 suppresses
  15. L5:244 suppresses
  16. L16:92 excites
  17. L16:15 excites
  18. L0:1127 suppresses
  19. L19:193 suppresses
  20. L2:1436 suppresses
  21. L20:110 suppresses
  22. L17:437 weakly excites
  23. L21:195 weakly excites
  24. L22:215 weakly excites

Feeds later layers

  1. L27:255 strongly suppresses
  2. L27:2164 suppresses
  3. L27:327 suppresses
  4. L27:595 suppresses
  5. L27:775 weakly suppresses
  6. L27:1523 weakly excites
  7. L27:185 weakly excites
  8. L27:2483 weakly suppresses
  9. L27:2003 weakly suppresses
  10. L27:644 weakly suppresses
  11. L27:1493 weakly suppresses
  12. L27:580 weakly suppresses
  13. L27:913 weakly suppresses
  14. L27:2919 weakly suppresses
  15. L27:246 weakly suppresses
  16. L27:3023 weakly suppresses
  17. L27:1373 weakly suppresses
  18. L27:2182 weakly suppresses
  19. L27:2214 weakly suppresses
  20. L27:754 weakly excites
  21. L27:1168 weakly suppresses
  22. L27:2642 weakly excites
  23. L27:2722 weakly excites
  24. L27:3015 weakly suppresses 'F' starting a word in a split

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 -9.23 and -8.761 values between -6.40 and -5.931 values between -3.57 and -3.102 values between -3.10 and -2.631 values between -2.63 and -2.161 values between -2.16 and -1.696 values between -1.69 and -1.2211 values between -1.22 and -0.74180 values between -0.74 and -0.273102 values between -0.27 and 0.20543 values between 0.20 and 0.6744 values between 0.67 and 1.146 values between 1.14 and 1.611 values between 1.61 and 2.092 values between 2.09 and 2.561 values between 3.97 and 4.441 values between 4.44 and 4.922 values between 5.39 and 5.861 values between 7.27 and 7.751 values between 9.16 and 9.63offnegativepositiveoften

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. 技术和
  2. itle
  3. 院士
  4. alta
  5. 既要
  6. ständ
  7. ug
  8. reckon
  9. minister
  10. 不仅要

Suppresses

  1. /
  2. /O
  3. /OR
  4. /her
  5. /or
  6. /en
  7. /remove
  8. /u
  9. /ref
  10. /rem