Neuron Explorer

Qwen3-0.6B

end of text token after prose

A neuron in layer 12 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 responds strongly to the hidden marker that ends a document, especially when the text just before it is a finished sentence. Turning it up did not produce a clear theme in the written output.

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

    environmental variables, or logging properties⏎- Monitor Spark using the web UIs, metrics, and external instrumentation⏎- Understand performance tuning considerations⏎- This course is<|endoftext|>Class 1M have been learning the story of Snow White and the Seven D

  2. #2 peak

    will discuss a basic MySQL installation on a Linux virtual server, and some of the basic MySQL commands.⏎Full documentation can be found on the MySQL.com website here.<|endoftext|>The law applicable to military strategic use of outer space⏎New technologies and the law

  3. #3 peak

    engine optimization (SEO) efforts by generating optimized content for your site. Additionally, AI can help you identify and prevent potential blog problems before they become big issues.<|endoftext|>Turbine oils are subjected to a wide range of conditions -

  4. #4 peak

    the area was not opened for shellfish harvesting, whereas in 2000, the number of days during which the area was opened ranged from 6<|endoftext|>The picture from Ani's tomb shows a full procession with

  5. #5 peak

    reversed, thereby ensuring that the anode surface always remains clean. If the switching frequency is high enough, dual-magnetron sputtering can also eliminate ar<|endoftext|>Mexican War Of Independence And Early Republic 1810-50

  6. #6 peak

    of the photos. Moreover, this approach not only makes it possible to represent the citizens’ natural behavior, which may change as they see themselves in front of the<|endoftext|>Stand up for the facts!⏎Our only agenda is to publish the truth so you

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: that the position of principal,____________,______________,____________________________________________________________________________________________________________','Resultiard','pol','__

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

    ography, July 2, 2014. DOI: 10.1007/s13524-014-0308-7<|endoftext|>Designs and simulation results are given for two

  2. #2 peak

    Edition)⏎|Author||Michael P. O'Donnell, Margo Wood|⏎|Number Of Pages||408|⏎Write a review⏎Note: HTML is not translated!⏎Rating: Bad Good⏎Enter the code in the box below

  3. #3 peak

    continues]⏎Cite This Essay⏎(2012, 05). The Struggle for Power in the Ussr. StudyMode.com. Retrieved 05, 2012, from http://www.st

  4. #4 peak

    quote exceptions. Similarly, wrap the string in single quotes instead of double quotes if you want to print double quotes in a string:⏎print(‘John says “Hello there!”’)⏎John says “Hello there!”⏎## Use escape sequences to

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. L9:263 suppresses
  2. L10:58 excites
  3. L9:1573 suppresses
  4. L11:1785 suppresses
  5. L7:885 excites
  6. L10:80 excites
  7. L10:553 suppresses list-style essay phrasing, weak
  8. L10:1144 suppresses sentence openers after a break
  9. L4:121 excites
  10. L10:689 excites
  11. L10:510 excites
  12. L3:187 weakly excites
  13. L10:507 weakly suppresses
  14. L10:196 weakly suppresses
  15. L8:663 weakly suppresses
  16. L11:2225 weakly excites
  17. L9:23 weakly suppresses
  18. L3:157 weakly excites
  19. L3:17 weakly suppresses
  20. L10:1042 weakly excites
  21. L4:50 weakly excites
  22. L9:949 weakly excites
  23. L4:2400 weakly suppresses
  24. L8:2725 weakly excites line-break tokens inside wrapped text

Feeds later layers

  1. L19:1466 excites
  2. L18:1518 excites
  3. L16:926 suppresses
  4. L16:913 suppresses
  5. L15:910 excites
  6. L17:261 suppresses
  7. L15:605 suppresses
  8. L18:1633 excites
  9. L14:2251 excites
  10. L13:2695 excites
  11. L18:722 excites
  12. L14:1811 excites word before an evaluative adjective in essays
  13. L16:1891 excites
  14. L17:1554 weakly excites
  15. L16:1543 weakly suppresses
  16. L17:1933 weakly excites
  17. L15:2706 weakly excites
  18. L13:129 weakly excites
  19. L17:94 weakly excites
  20. L19:59 weakly excites
  21. L15:1727 weakly excites
  22. L27:2352 weakly suppresses
  23. L20:312 weakly suppresses
  24. L21:96 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.

158 values between -0.65 and -0.441294 values between -0.44 and -0.231950 values between -0.23 and -0.02451 values between -0.02 and 0.1938 values between 0.19 and 0.404 values between 0.40 and 0.611 values between 0.61 and 0.824 values between 0.82 and 1.032 values between 1.03 and 1.241 values between 1.45 and 1.661 values between 1.66 and 1.871 values between 2.08 and 2.291 values between 2.51 and 2.721 values between 2.72 and 2.931 values between 7.55 and 7.76offnegativepositiveoften

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. 网小编
  2. ]*
  3. .getRuntime
  4. <$
  5. [*
  6. <|endoftext|>
  7. *$
  8. wright
  9. * ⏎
  10. AdapterManager

Suppresses

  1. ivism
  2. vib
  3. 🏻
  4. 这支
  5. 样板
  6. akin
  7. 🏽
  8. idity
  9. 点了
  10. elled