Neuron Explorer

Qwen3-0.6B

'New' in place names

A neuron in layer 25 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 'New' in place names like New York, New Orleans and New England, and on a few other place-name words such as 'Saint'. When it was turned up, the model drifted toward place-related words like 'metropolitan area', while turning it down pushed it into repeated phrases.

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

    depending on how much and how fast the state plans to cut pollution in coming years, a recent National Resources Defense Council analysis shows.⏎Maine and the five other New England states are among the nine states participating in the Regional Greenhouse Gas Initiative,

  2. #2 peak

    . The bridge across Lake Pontchartrain into New Orleans is barely visible as a slightly brighter line against the lake's green and brown

  3. #3 peak

    1, 1825, and construction completed on July 10, 1831. Since 1776 this portion of New York harbor has been a strategic base for coastal defense. Fort Lewis, once located

  4. #4 peak

    burg and Iredell, and several mines, some still in operation, in Stanly county in the New London/Richfield area. But Gold Hill, just a few miles from Stan

  5. #5 peak

    Ribaud, built Charlefort at Port Royal in 1562, and Fort Caroline under Laudonniere, at the River May (now St. John’s, Florida), in 1564. […]⏎Jac

  6. #6 peak

    . His army passed through on York Road several times and Washington stopped over at the Hartsville Inn on several occasions, traveling between Philadelphia and Coryell's Ferry (New Hope). The action of the Battle of Crooked Billet took place just south

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: I want to get older in my mind, and I want to see light in her eyes in her light. In her light her light will be light in her eyes. In her light, her light will be her light. In her light

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

    headlines<|endoftext|>Impact of the introduction of the red-eared slider (Trachemys scripta elegans) on survival rates of the European pond turtle (Emys orbicularis)⏎- Cite this article as:⏎- Cadi, A

  2. #2 peak

    would allow to be used as a concrete set accelerator⏎- No flocculation or coagulation⏎- All concretes and mortar containing steel reinforcement, post-tensioned concrete, concrete in contact with chlorides, parking structures, p

  3. #3 peak

    (four-legged vertebrates) > Reptiliomorpha > Amniota >⏎Reptilia (reptiles) >⏎Romeriida > Diapsida > Arch

  4. #4 peak

    eggs.⏎The sites anywhere the discoveries were made correspond to the upper Cretaceous, between the Campanian and Maastrichtian periods, some 70 to 83 million years ago.⏎The fossils found belong to small eggs

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. L20:1750 excites
  2. L22:151 weakly suppresses
  3. L0:1768 weakly suppresses
  4. L24:8 weakly suppresses
  5. L12:2523 weakly excites
  6. L20:669 weakly suppresses
  7. L9:183 weakly excites
  8. L10:2376 weakly suppresses
  9. L21:1786 weakly excites
  10. L20:2613 weakly suppresses
  11. L11:2497 weakly excites
  12. L2:682 weakly suppresses
  13. L6:1419 weakly suppresses
  14. L21:2566 weakly excites
  15. L17:113 weakly excites
  16. L5:1851 weakly excites
  17. L1:2962 weakly excites
  18. L10:1100 weakly suppresses
  19. L22:2772 weakly excites
  20. L14:487 weakly excites
  21. L0:344 weakly suppresses comma after sentence-opening adverb
  22. L21:2399 weakly excites
  23. L11:2743 weakly suppresses
  24. L15:887 weakly suppresses

Feeds later layers

  1. L27:368 weakly excites
  2. L26:2770 weakly excites
  3. L26:2604 weakly excites
  4. L27:1068 weakly excites
  5. L26:2869 weakly excites
  6. L26:1925 weakly excites
  7. L26:1001 weakly suppresses
  8. L27:1972 weakly excites
  9. L27:2187 weakly excites
  10. L27:2808 weakly excites
  11. L26:1114 weakly excites
  12. L27:2641 weakly excites
  13. L26:750 weakly suppresses
  14. L27:2983 weakly excites
  15. L26:2297 weakly excites
  16. L26:519 weakly suppresses
  17. L26:2446 weakly excites
  18. L26:2892 weakly excites
  19. L27:540 weakly suppresses
  20. L26:1915 weakly excites
  21. L27:2975 weakly suppresses
  22. L26:771 weakly excites
  23. L26:768 weakly suppresses
  24. L26:1920 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.

3 values between -9.44 and -8.873 values between -7.17 and -6.611 values between -6.04 and -5.471 values between -5.47 and -4.912 values between -4.34 and -3.786 values between -3.78 and -3.214 values between -3.21 and -2.6410 values between -2.64 and -2.083 values between -2.08 and -1.5128 values between -1.51 and -0.94196 values between -0.94 and -0.382804 values between -0.38 and 0.19769 values between 0.19 and 0.7551 values between 0.75 and 1.325 values between 1.32 and 1.894 values between 1.89 and 2.457 values between 2.45 and 3.021 values between 3.02 and 3.591 values between 3.59 and 4.152 values between 4.15 and 4.721 values between 4.72 and 5.281 values between 5.28 and 5.851 values between 7.55 and 8.121 values between 9.81 and 10.382 values between 12.08 and 12.651 values between 12.65 and 13.21offnegativepositiveoften

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. ippers
  2. metropolitan
  3. รา
  4. meteor
  5. ansa
  6. 默
  7. ites
  8. iper
  9. 𝑏
  10. pollen

Suppresses

  1. _cast
  2. %^
  3. degrees
  4. чен
  5. olders
  6. elden
  7. いただく
  8. mates
  9. себе
  10. holm