Neuron Explorer

Qwen3-0.6B

end-of-document token

A neuron in layer 13 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 marker that signals the end of one web page or document, right where an unrelated new text is about to begin. When it was turned up, the model wrote rambling text that did not clearly connect to the prompt.

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 refracted angle ( r ).⏎- The light beam can bend towards the normal or away from the normal.<|endoftext|>More girls are enrolling in school, but there are still enormous gaps. The

  2. #2 peak

    so the controllers end up talking directly to the repositories.<|endoftext|>Energy Saving Tips⏎Your Home’s Energy Use⏎Tips to Reduce Energy Consumption and

  3. #3 peak

    . Early measurements give you a good idea of where the important costs are in your app, and inform design decisions. This results in high performing apps that scale well<|endoftext|>400 years ago on November 18th...⏎On November 1

  4. #4 peak

    extend NumPy/SciPy and R by writing a wrapper for an Intel MKL function and then use it from NumPy/SciPy or R programs.<|endoftext|>by Roman Davidov⏎(revisited from the June 2003 issue

  5. #5 peak

    . Here's a class called CarParts that declares a static inner class called Wheel. If we consider the real-world, we can find many objects around us,<|endoftext|>18th Jan 12 14:01<< Go back

  6. #6 peak

    where certain mail servers is given as authorized mail server for your domain. The recipient after receiving the mail from your domain, can verify with your domain SPF record to<|endoftext|>Researchers from the Sloan Digital Sky Survey (SDSS-II) announced the discovery of

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: and there exists and some2unciation (enuresis here or in the literalization or translations as and/or and/or… respectively, or equivalently (some, or... , given, or accolature, and/or, parli/

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

    decades. The AFL and the CIO merged and formed one organization which represented “35% of all nonagricultural workers” (Foner 374).⏎Consumer Demand Spurs Economic Growth. Rising incomes, easy credit, and aggressive

  2. #2 peak

    again.” William Rosenau, Book Note, The Origins of the First Modern Weapon, TECH. REV., Jan. 1987, at 74, (reviewing John Ellis,

  3. #3 peak

    people within a matter of seconds. See George C. Wilson, Visible Violence, 12 NAT’L J. 886, 887 (2003). Short of bombs, missiles, and biochemical agents,

  4. #4 peak

    ] Wayne Grudem, Systematic Theology: An Introduction to Doctrine, Grand Rapids: Zondervan Publishing House (1994), 919.⏎[ii] Gregg R. Allison, Sojourners and Strangers

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. L7:22 strongly excites
  2. L10:65 strongly suppresses
  3. L10:46 strongly excites
  4. L10:124 strongly excites
  5. L11:17 excites
  6. L10:1739 excites
  7. L7:105 suppresses
  8. L12:1208 excites
  9. L11:29 suppresses
  10. L9:98 suppresses
  11. L11:171 suppresses
  12. L12:1979 suppresses
  13. L9:71 excites
  14. L12:2740 suppresses
  15. L8:254 suppresses
  16. L12:1115 suppresses
  17. L9:2341 excites
  18. L12:421 excites
  19. L7:214 suppresses
  20. L10:812 suppresses
  21. L5:67 suppresses
  22. L3:521 excites
  23. L3:607 suppresses
  24. L10:1578 suppresses

Feeds later layers

  1. L14:1641 strongly excites
  2. L14:1366 suppresses
  3. L15:1912 excites
  4. L14:267 excites
  5. L15:1299 excites
  6. L14:2169 suppresses
  7. L14:2974 excites
  8. L14:586 excites
  9. L16:808 suppresses
  10. L14:1623 excites
  11. L14:2288 suppresses
  12. L14:2125 excites
  13. L17:849 suppresses
  14. L16:865 suppresses
  15. L15:2628 suppresses
  16. L14:2661 excites
  17. L25:801 suppresses
  18. L15:1088 weakly suppresses
  19. L20:324 weakly suppresses
  20. L15:1601 weakly excites
  21. L17:892 weakly suppresses
  22. L21:174 weakly suppresses
  23. L21:223 weakly suppresses
  24. L14:1082 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.

2 values between -2.15 and -1.947 values between -1.94 and -1.7210 values between -1.72 and -1.5028 values between -1.50 and -1.2931 values between -1.29 and -1.0796 values between -1.07 and -0.86163 values between -0.86 and -0.64272 values between -0.64 and -0.43411 values between -0.43 and -0.21618 values between -0.21 and 0.01619 values between 0.01 and 0.22481 values between 0.22 and 0.44397 values between 0.44 and 0.65304 values between 0.65 and 0.87214 values between 0.87 and 1.09107 values between 1.09 and 1.3068 values between 1.30 and 1.5234 values between 1.52 and 1.7320 values between 1.73 and 1.957 values between 1.95 and 2.1610 values between 2.16 and 2.381 values between 2.38 and 2.591 values between 2.81 and 3.031 values between 3.03 and 3.241 values between 3.24 and 3.461 values between 3.67 and 3.892 values between 3.89 and 4.101 values between 4.54 and 4.751 values between 6.26 and 6.48offnegativepositiveoften

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. ional
  2. berth
  3. rarian
  4. ensitivity
  5. 衮
  6. 沽
  7. gett
  8. conduc
  9. addError
  10. erness

Suppresses

  1. ilogy
  2. &m
  3. 而
  4. 且
  5. layui
  6. ifndef
  7. vide
  8. ==>
  9. &p
  10. -shirt