Neuron Explorer

Qwen3-0.6B

"the" after abstract topic nouns

A neuron in layer 22 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 fires on the word "the" in lists or phrases about broad subjects, such as "the importance of the" or "Fans of science, mathematics, the". When turned up, the model repeated the word "concept" over and over.

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

    philosophical figures: Archimedes, Sir Isaac Newton, Einstein, and more.⏎- Powers and principles in physics: Centrifugal and centripetal forces, the power of inertia, potential energy, kinetic energy, action and reaction law, buoy

  2. #2 peak

    , environments, fossils, and dinosaurs, parts of the earth, natural resources, how the earth moves, light and shadows, how things move, heat, and the systems of the body. Science process skills are developed by participating in hands-on activities

  3. #3 peak

    as such, the frequent references to it seem more like self-promotion than an attempt to contextualize and/or bolster his arguments. Fans of science, mathematics, the liberal arts, and the value of a well-rounded education may find themselves echoing Daniel

  4. #4 peak

    Century. It will focus on a number of themes, including the impacts of war on the U.S., civil rights and expanding notions of citizenship, the expansion of the role of the federal government, and the rise of the U.S. as a

  5. #5 peak

    this year’s edition of the UCD Connections magazine. In this article, Dr Tom Ryan writes that “87% of adults in Ireland recognise the importance of the environment

  6. #6 peak

    critically.⏎- Through bookmaking, students learn to express and extend their knowledge of concepts-either abstract concepts, such as friendship, or concrete concepts, such as the food chain.⏎Common Core Standards⏎This resource has been aligned to the Common Core

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: it is important to start with the use of a good, well-being being a key reference. It is important to include it with a good, well-being, and it is essential to do it with a good, well-being. So,

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

    Water Buffalo (Bubalus bubalis),⏎- Guar (Bos gaurus), Rhino (Rhinoceros unicorns),⏎- Pigmy Hog (Sus salvanius).⏎Over 426 bird species are reported to be found in

  2. #2 peak

    NSW government that a huge. Jan 06, 2014 · Case study on: Ganga water pollution 1. Submitted by: Shradddha Samant MMS

  3. #3 peak

    of the land.⏎A quick search on the internet reveals that Lloyd George Street is in a popular part of the city with trendy shops, hotels, bars and The Lev Smadar, a highly regarded and comfortable arthouse cinema.⏎Unsurprisingly after

  4. #4 peak

    etc. There is no confusion in the first name. The middle name can be seen from example – Ram Prasad Srivastava. Here First Name is Ram, Middle name is Prasad and Last

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. L21:614 excites
  2. L20:361 excites
  3. L17:30 suppresses
  4. L18:799 excites
  5. L9:24 excites "the" before a named organisation or title
  6. L19:427 suppresses
  7. L16:419 weakly excites
  8. L17:985 weakly excites
  9. L20:2795 weakly suppresses
  10. L18:666 weakly suppresses
  11. L18:602 weakly suppresses
  12. L16:792 weakly excites "the" inside a prepositional phrase
  13. L10:120 weakly suppresses
  14. L18:1041 weakly suppresses
  15. L14:169 weakly suppresses
  16. L10:1137 weakly excites
  17. L16:148 weakly excites
  18. L9:586 weakly excites
  19. L20:2826 weakly excites
  20. L16:775 weakly suppresses
  21. L19:2283 weakly suppresses
  22. L16:2062 weakly excites "other" and contrast words
  23. L14:2094 weakly suppresses
  24. L9:1009 weakly suppresses

Feeds later layers

  1. L26:613 weakly suppresses
  2. L23:2674 weakly excites
  3. L24:2470 weakly excites
  4. L27:1180 weakly excites
  5. L24:803 weakly excites
  6. L24:1811 weakly suppresses
  7. L23:176 weakly suppresses
  8. L26:532 weakly excites
  9. L25:2245 weakly excites
  10. L26:2930 weakly excites
  11. L23:937 weakly excites
  12. L23:670 weakly suppresses
  13. L25:508 weakly suppresses
  14. L24:405 weakly suppresses
  15. L24:2485 weakly excites
  16. L26:405 weakly excites
  17. L27:1755 weakly suppresses
  18. L27:528 weakly excites
  19. L27:1846 weakly excites
  20. L25:2206 weakly excites
  21. L26:2836 weakly suppresses
  22. L24:757 weakly suppresses
  23. L23:2785 weakly suppresses
  24. L24:2263 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 -15.88 and -14.702 values between -12.34 and -11.153 values between -11.15 and -9.972 values between -9.97 and -8.794 values between -8.79 and -7.602 values between -7.60 and -6.422 values between -6.42 and -5.2413 values between -5.24 and -4.0619 values between -4.06 and -2.8721 values between -2.87 and -1.69274 values between -1.69 and -0.513308 values between -0.51 and 0.67109 values between 0.67 and 1.8625 values between 1.86 and 3.0423 values between 3.04 and 4.2219 values between 4.22 and 5.4013 values between 5.40 and 6.599 values between 6.59 and 7.776 values between 7.77 and 8.958 values between 8.95 and 10.1410 values between 10.14 and 11.3211 values between 11.32 and 12.505 values between 12.50 and 13.682 values between 13.68 and 14.871 values between 14.87 and 16.053 values between 16.05 and 17.232 values between 17.23 and 18.412 values between 18.41 and 19.603 values between 19.60 and 20.781 values between 20.78 and 21.961 values between 23.14 and 24.331 values between 24.33 and 25.511 values between 27.87 and 29.062 values between 30.24 and 31.42offnegativepositiveoften

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. concept
  2. 这位
  3. Double
  4. 这项
  5. 这条
  6. 这张
  7. 这个
  8. 这套
  9. 这么多
  10. Double

Suppresses

  1. aders
  2. 本报讯
  3. <IActionResult
  4. }->{
  5. insic
  6. adiens
  7. ört
  8. =row
  9. edium
  10. adians