Neuron Explorer

Qwen3-0.6B

end-of-document token after a finished text

A neuron in layer 16 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 mostly reacts to the invisible marker that signals the end of a document, which appears right after a text finishes and a new unrelated one begins. When pushed down, it produced some vivid, dramatic wording, but the link is weak.

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

    and idiomatic expressions. New Amigos also includes geographical information and cards focused on culture, business, and food and drink.⏎New Amigos is a great game<|endoftext|>How did the kindly Christian saint, good Bishop Nicholas, become a roly-p

  2. #2 peak

    melanoma.⏎This fact sheet from the National Cancer Institute explains the subject thoroughly. It also lists a number of the clinical trials currently underway on experimental therapeutic vaccines.<|endoftext|>What Are PK Boosters?⏎Just like with anything, gardening and⏎PK Booster

  3. #3 peak

    and Emerging Technologies Flagship competition launched by the European Commission, the other one being the “Graphene” project led by Swedish theoretical physicist Jari Kinaret.<|endoftext|>

  4. #4 peak

    .⏎A weekly sampling of articles, blogs and reports relevant to TT educators.⏎Student pushback against mixing up their lunchtime seating can be a perfect teaching opportunity.<|endoftext|>Everyone on the World Wide Web is talking about SSL certificates. And has been doing

  5. #5 peak

    elementary version of the highly-successful program.⏎Additional Meeting Notes⏎There are a limited number of speaking slots. It is a first come, first served system.<|endoftext|>Fast Food Near Urban Schools Causes Obesity In Minority Children?⏎Does Fast Food Near Urban

  6. #6 peak

    .⏎We traveled all this days and night,⏎Oppressed by dust and heat;⏎We got some muddy water,⏎But nothing for to eat.⏎At length each man<|endoftext|>Since 199

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 looked at the numbers of my heart and the numbers of my heart stopped. My heart stopped. I felt my hands immediately freeze, the air in my body almost stopped. Then, the air of my heart, my heart stopped. I

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

    2 BC to 1323 BC. He is widely regarded as King Tut. When his tomb was discovered in 1922, the world stopped to witness the artifacts and the mask.⏎Last century, several bodies were found in

  2. #2 peak

    the paper, and mammal collections manager at the Field Museum, Chicago, US, said hearing the news that the monkey belonged to a new genus "sent shivers down my spine".⏎"Simply put, the genetics said that it was closely related

  3. #3 peak

    150 minutes of exercise a week, though it explains this might be 20 to 60 minutes of vigorous exercise – which makes you huff and puff, such as jogging, aerobics, football and netball –

  4. #4 peak

    they were doing what was best for them. As a parent, my heart goes out to those adults.⏎Unpasteurized, or "raw," milk,

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. L15:2994 strongly excites
  2. L15:1089 suppresses
  3. L15:2734 excites
  4. L14:2875 suppresses
  5. L12:2878 excites
  6. L13:506 suppresses
  7. L15:2114 excites
  8. L14:3019 excites
  9. L13:2739 excites
  10. L13:2610 suppresses
  11. L13:2402 suppresses
  12. L14:1302 weakly excites
  13. L13:2773 weakly excites
  14. L12:340 weakly excites
  15. L15:2837 weakly excites
  16. L13:2029 weakly suppresses
  17. L13:2457 weakly suppresses
  18. L11:162 weakly excites
  19. L10:2771 weakly suppresses
  20. L12:1 weakly excites
  21. L7:1666 weakly suppresses
  22. L13:1958 weakly suppresses
  23. L1:3069 weakly suppresses
  24. L14:1699 weakly suppresses

Feeds later layers

  1. L21:1221 suppresses
  2. L17:1448 suppresses
  3. L18:2643 suppresses
  4. L17:2189 suppresses
  5. L19:1756 suppresses
  6. L20:2263 suppresses
  7. L18:1544 suppresses
  8. L21:1820 suppresses
  9. L21:2238 suppresses
  10. L17:2937 weakly suppresses
  11. L17:1961 weakly suppresses
  12. L18:1853 weakly suppresses
  13. L21:1273 weakly suppresses
  14. L19:1499 weakly suppresses
  15. L20:2245 weakly suppresses
  16. L24:1344 weakly suppresses
  17. L17:1373 weakly suppresses
  18. L19:1718 weakly suppresses
  19. L18:2817 weakly excites
  20. L22:1144 weakly suppresses
  21. L21:1845 weakly suppresses
  22. L26:269 weakly suppresses
  23. L22:3068 weakly suppresses
  24. L17:1544 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 -3.38 and -3.191 values between -3.19 and -3.012 values between -3.01 and -2.821 values between -2.82 and -2.641 values between -2.27 and -2.081 values between -2.08 and -1.902 values between -1.72 and -1.533 values between -1.53 and -1.352 values between -1.35 and -1.168 values between -1.16 and -0.987 values between -0.98 and -0.7911 values between -0.79 and -0.6125 values between -0.61 and -0.4271 values between -0.42 and -0.24463 values between -0.24 and -0.051615 values between -0.05 and 0.131214 values between 0.13 and 0.31409 values between 0.31 and 0.5062 values between 0.50 and 0.683 values between 0.68 and 0.871 values between 0.87 and 1.051 values between 1.42 and 1.611 values between 1.61 and 1.791 values between 2.16 and 2.341 values between 3.64 and 3.821 values between 3.82 and 4.00offnegativepositiveoften

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. eut
  2. 址
  3. 他们是
  4. люд
  5. thag
  6. (bottom
  7. IonicModule
  8. uest
  9. (always
  10. ByteArrayOutputStream

Suppresses

  1. Suddenly
  2. paused
  3. ickers
  4. icker
  5. Changed
  6. 心跳
  7. 默
  8. 霎
  9. 欣喜
  10. 暂停