Neuron Explorer

Qwen3-0.6B

"life" after origins or search phrases

A neuron in layer 8 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 "life" when it follows phrases like "origins of", "search for" or "seeded", about how life began or was looked for. Turned up, the model's output became unfocused, so the steering does not clearly show this theme.

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 comet, the lander will harpoon itself into place to keep it from ricocheting back off into space.⏎It may hold secrets on the origins of life⏎Comets are balls of ice and dirt left over after the dawn of the

  2. #2 peak

    weird findings could be on the horizon. Rosetta could help scientists probe the origins of life in the solar system or even uncover some of the long-standing mysteries surrounding how a

  3. #3 peak

    .⏎The organic material of comets could have contributed to Earth's water and even the beginning of life on the planet.⏎"We desperately need to know the composition [of comets]

  4. #4 peak

    Researchers think life emerges through a series of chemical interactions at water-mineral interfaces, so a wet seafloor on Ganymede might be a key ingredient for life there.⏎› Unannotated version⏎Image credit: NASA/JPL-Caltech

  5. #5 peak

    spacecraft Curiosity on mars has generated much interest in India and the world. Certainly, this is a major milestone in earth's search for life elsewhere in space. But another event of significance for India's national security went relatively

  6. #6 peak

    could hold clues to the origin of the solar system and organic molecules that may have seeded life on Earth. NASA also is planning a crewed mission to an asteroid by

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 have been working on this problem, and I can't help you. This is a problem. I am really stuck. Maybe I should look up the data. This is getting to the point of being a problem. Okay, let's

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

    , distribution or composition of gardens.⏎The team of the STEREO III project GARMON looked into this and was able to use various types of satellite and aerial data to draw up a map of the gardens, showing the extent, composition

  2. #2 peak

    of Wood Buffalo National Park in Northern Alberta, Canada.⏎The said biggest beaver dam can also be seen through Google Earth’s images and can be seen from outer space.⏎The Canadian beavers amazingly built a staggering 2790 feet wide

  3. #3 peak

    and effective detection of natural gas leaks through evaluation of geobotanical stress signatures.⏎The remote sensing techniques being developed employ advanced spectrometer systems that produce visible and near infrared

  4. #4 peak

    and after extreme storms to determine if or how the landscape changed.⏎"Computers cannot yet automatically identify damages and geomorphic changes to the coast from the oblique aerial photographs,"

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. L3:1639 weakly suppresses
  2. L5:2101 weakly excites
  3. L0:2253 weakly excites
  4. L6:1207 weakly suppresses
  5. L3:1804 weakly suppresses
  6. L5:1357 weakly excites
  7. L0:370 weakly excites
  8. L7:3061 weakly excites
  9. L3:475 weakly suppresses
  10. L7:2491 weakly excites
  11. L5:2582 weakly excites
  12. L2:2849 weakly suppresses
  13. L0:555 weakly excites
  14. L6:2243 weakly suppresses
  15. L4:1754 weakly suppresses
  16. L7:2627 weakly suppresses
  17. L6:2576 weakly excites
  18. L1:1190 weakly excites
  19. L5:1047 weakly excites
  20. L3:1922 weakly excites
  21. L7:1908 weakly suppresses
  22. L2:2413 weakly excites
  23. L4:3035 weakly excites
  24. L5:189 weakly suppresses

Feeds later layers

  1. L12:1749 suppresses
  2. L20:2607 excites
  3. L9:289 excites
  4. L9:1429 weakly suppresses
  5. L11:2019 weakly suppresses
  6. L10:264 weakly suppresses
  7. L22:1713 weakly excites
  8. L21:2625 weakly excites
  9. L9:1688 weakly excites
  10. L10:883 weakly excites
  11. L15:2068 weakly excites
  12. L20:1514 weakly excites
  13. L20:1401 weakly excites
  14. L13:2116 weakly excites
  15. L24:3066 weakly excites
  16. L9:730 weakly suppresses
  17. L9:22 weakly excites
  18. L10:1659 weakly suppresses
  19. L23:1962 weakly excites
  20. L19:2745 weakly excites
  21. L11:1306 weakly excites
  22. L18:792 weakly excites
  23. L9:619 weakly suppresses
  24. L10:1608 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 -2.21 and -2.091 values between -1.98 and -1.871 values between -1.87 and -1.751 values between -1.75 and -1.641 values between -1.53 and -1.421 values between -1.42 and -1.301 values between -1.30 and -1.191 values between -1.08 and -0.972 values between -0.97 and -0.856 values between -0.85 and -0.744 values between -0.74 and -0.634 values between -0.63 and -0.5219 values between -0.52 and -0.4056 values between -0.40 and -0.29195 values between -0.29 and -0.18718 values between -0.18 and -0.071401 values between -0.07 and 0.051011 values between 0.05 and 0.16352 values between 0.16 and 0.27104 values between 0.27 and 0.3916 values between 0.39 and 0.504 values between 0.50 and 0.612 values between 0.61 and 0.721 values between 0.72 and 0.841 values between 0.84 and 0.951 values between 1.40 and 1.511 values between 1.74 and 1.851 values between 1.85 and 1.961 values between 2.19 and 2.30offnegativepositiveoften

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. hans
  2. idelity
  3. $instance
  4. retty
  5. ivate
  6. 台上
  7. suce
  8. Truman
  9. [opt
  10. (instance

Suppresses

  1. elor
  2. /effects
  3. pression
  4. thood
  5. �
  6. difficulty
  7. .AddComponent
  8. League
  9. ather
  10. -league