Neuron Explorer

Qwen3-0.6B

'in' before a place name

A neuron in layer 21 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 'in' when a country, state or city is about to follow, as in 'in Europe' or 'in Iowa'. When it was turned up, the model kept naming places like the United States over and over.

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

    voltage drop waveforms are in-phase with each other.⏎Given that the power supply frequency is 60 Hz (household power frequency in the United States), calculate impedances for all components and determine all voltage drops using

  2. #2 peak

    food processing plants, accounting for 88 million tons of municipal waste each year in Europe. The Commission notes that the main environmental threat from bio-waste is the

  3. #3 peak

    now have customized climate predictions, thanks to a<|endoftext|>What is redistricting and how does it work in Iowa? Your questions answered.⏎The U.S. Census Bureau delivered its long-delay

  4. #4 peak

    and playing duck-apple at Halloween; burning the clavie (tar barrel) at new year or 'Hallooing Largesse' (where, in

  5. #5 peak

    , usually within three hours. The results varied depending on proximity to the natural mating season. For L. guildingii, the peak was in mid-summer in Australia (December). (Charonia Research, 1996b;

  6. #6 peak

    rather as a non-British symbol to counter the English St. George societies. This St. Nicholas society was similar to the Sons of St. Tammany in Philadelphia. Not exactly St. Nicholas

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: the number of $ (3, 3, 2) $ on the $ (3, 3, 2) $-categorical $ 3 $-dimensional $ (3, 3, 2) $

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

    also called Zoanthidea or Zoanthiniaria) are an order of cnidarians commonly found in coral reefs, the deep sea and many other marine environments around the world. These animals come in a variety of different colonizing formations and in

  2. #2 peak

    So fill up that page and let your imagination run WILD!<|endoftext|>Baleen and sperm whales, known collectively as the great whales, include the largest animals in the history of life on Earth. With high metabolic demands and large populations, whales

  3. #3 peak

    to consider where art comes from and how it impacts all of us.⏎Contributors to this open textbook offer relatable descriptions, details, and contexts of artworks from around the

  4. #4 peak

    may be moderated or removed.<|endoftext|>Even the hardy tardigrade might not stand up to climate change⏎Tardigrades are well-known for being one of the hardiest animals on the planet, but even they have their limits. New

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. L18:2225 strongly suppresses
  2. L18:1099 strongly excites
  3. L19:2957 strongly excites
  4. L19:160 strongly suppresses
  5. L19:2170 suppresses
  6. L18:1861 excites
  7. L18:2899 excites
  8. L19:2778 suppresses
  9. L18:2980 suppresses
  10. L19:2859 excites
  11. L17:1178 excites
  12. L20:1288 excites
  13. L17:596 suppresses
  14. L18:1860 suppresses
  15. L14:1550 suppresses
  16. L16:1968 excites
  17. L18:183 suppresses
  18. L15:1464 suppresses
  19. L17:2267 suppresses
  20. L16:2771 excites
  21. L16:783 suppresses
  22. L17:1167 excites
  23. L20:691 suppresses
  24. L17:897 suppresses

Feeds later layers

  1. L27:536 strongly excites
  2. L22:1843 excites
  3. L27:1201 excites
  4. L22:2433 excites
  5. L23:1087 excites
  6. L26:207 suppresses
  7. L23:2950 excites
  8. L25:2455 excites
  9. L26:825 excites
  10. L26:559 excites
  11. L24:893 excites
  12. L22:439 suppresses
  13. L27:405 excites
  14. L27:2537 excites
  15. L24:1851 excites
  16. L25:3071 excites
  17. L23:1248 excites
  18. L22:2246 excites
  19. L26:1751 excites
  20. L24:2306 excites
  21. L27:1130 excites
  22. L24:993 excites
  23. L22:2439 excites
  24. L26:2446 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 -11.57 and -11.061 values between -6.50 and -6.004 values between -6.00 and -5.491 values between -4.98 and -4.482 values between -3.97 and -3.463 values between -2.95 and -2.458 values between -2.45 and -1.9424 values between -1.94 and -1.43100 values between -1.43 and -0.93573 values between -0.93 and -0.422159 values between -0.42 and 0.09744 values between 0.09 and 0.59138 values between 0.59 and 1.1045 values between 1.10 and 1.6138 values between 1.61 and 2.1116 values between 2.11 and 2.629 values between 2.62 and 3.138 values between 3.13 and 3.649 values between 3.64 and 4.145 values between 4.14 and 4.653 values between 4.65 and 5.1611 values between 5.16 and 5.662 values between 5.66 and 6.171 values between 6.17 and 6.681 values between 6.68 and 7.181 values between 7.69 and 8.201 values between 8.20 and 8.70offnegativepositiveoften

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. 中国的
  2. 在中国
  3. 在美国
  4. 中国大陆
  5. 在日本
  6. 在我国
  7. 中国
  8. 美国
  9. France
  10. China

Suppresses

  1. ming
  2. ún
  3. 冊
  4. Plot
  5. 绰
  6. _mar
  7. 날
  8. ulta
  9. wer
  10. unik