Neuron Explorer

Qwen3-0.6B

unclear: weak end-of-text signal

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 gives only faint responses, mostly on the hidden end-of-document marker that appears where one web page ends and another begins. It does not show a clear topic, and steering it changed the writing in no obvious way.

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

    , each of which is shown in turn below:⏎The distance between any grid point and the rectangular border is one unit of measurement (equal to the length of the<|endoftext|>Shree Ganeshay Namah⏎How to write Anchoring Script in English

  2. #2 peak

    abstraction. Mathematicians search for similar patterns in seemingly different settings and then strive to communicate those patterns precisely. Mathematics is a creative process, not a mechanical one.<|endoftext|>The nucleus of each and every cell in our bodies is packed with DNA that is

  3. #3 peak

    one thing which was enjoyable and fascinating on your youngster, however you're fearful about whether or not the fabric will really enhance your kid's long-term college efficiency.<|endoftext|>“When Paroh will say to you, “Provide for yourself a mofait

  4. #4 peak

    He was 86.⏎There are several different ways to solve problems involving percentages, decimals, and fractions. Watch as find the percentage of a whole number.<|endoftext|>1. How does the U.S. manage the environmental legacy and human health impacts

  5. #5 peak

    iE):⏎2, Article 1.⏎Available at: http://epublications.bond.edu.au/ejsie/vol8/iss2/1<|endoftext|>Some may argue that sleeping is one of the best parts of the day. You

  6. #6 peak

    formulas and the questions. Students who work on their concepts would always excel in mathematical problems when compared to those who focus on memorizing solutions. Problems like limit solving<|endoftext|>How to dissolve polygons spatially in GRASS GIS⏎You can use the v

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: **What will be the largest possible number of people in the world to achieve this purpose (and how to achieve this purpose (and how to determine the largest possible number of people to achieve this purpose (and how to determine the largest possible number

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

    appear with the zip file path.⏎Step 3: Tap on Browse and select a destination to save the files after unzipping.⏎Step 4: Enable Show Extracted Files When Complete to see the unzipped files after the process is

  2. #2 peak

    , devfsadm creates the device files in the /devices directory and the logical links in the /dev directory. The devfsadm command also maintains the path_to_inst instance database.⏎Updates to the /dev and /devices directories in response to

  3. #3 peak

    portal/species/overview?p_p_spp=257336⏎This map is based on the

  4. #4 peak

    .⏎If exp is 0, x is returned.⏎These functions will fail if:⏎The result overflows.⏎If the integer expression (math_errhandling & MATH_ERREXCEPT) is non-zero, the overflow floating-point exception is raised

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. L9:11 suppresses
  2. L13:539 excites
  3. L14:1744 weakly suppresses
  4. L13:696 weakly suppresses
  5. L13:81 weakly suppresses
  6. L2:1877 weakly excites
  7. L0:2356 weakly suppresses
  8. L14:2884 weakly excites
  9. L15:1649 weakly suppresses
  10. L6:1370 weakly excites
  11. L7:1356 weakly suppresses
  12. L5:652 weakly excites
  13. L14:1248 weakly suppresses
  14. L3:66 weakly excites
  15. L12:1968 weakly excites
  16. L12:1605 weakly excites
  17. L12:1593 weakly excites
  18. L11:2965 weakly suppresses
  19. L14:67 weakly suppresses
  20. L8:2116 weakly suppresses
  21. L12:867 weakly suppresses
  22. L15:1581 weakly suppresses
  23. L13:2706 weakly suppresses
  24. L6:1101 weakly excites

Feeds later layers

  1. L19:1110 excites
  2. L18:496 weakly excites
  3. L19:616 weakly excites
  4. L20:585 weakly excites
  5. L20:824 weakly excites unclear: opposite pairs and citation digits
  6. L18:1781 weakly excites
  7. L20:495 weakly excites
  8. L26:399 weakly suppresses
  9. L19:689 weakly suppresses
  10. L18:259 weakly excites
  11. L24:78 weakly suppresses
  12. L17:2755 weakly excites
  13. L21:306 weakly suppresses
  14. L20:328 weakly excites
  15. L17:1404 weakly excites
  16. L20:272 weakly suppresses
  17. L19:413 weakly excites
  18. L22:2757 weakly excites
  19. L17:1423 weakly suppresses
  20. L20:622 weakly suppresses
  21. L26:113 weakly suppresses
  22. L19:1019 weakly suppresses
  23. L17:2079 weakly excites
  24. L17:294 weakly 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 -0.62 and -0.573 values between -0.57 and -0.527 values between -0.52 and -0.4711 values between -0.47 and -0.4129 values between -0.41 and -0.3655 values between -0.36 and -0.31105 values between -0.31 and -0.26140 values between -0.26 and -0.21224 values between -0.21 and -0.15302 values between -0.15 and -0.10406 values between -0.10 and -0.05514 values between -0.05 and 0.01488 values between 0.01 and 0.06423 values between 0.06 and 0.11357 values between 0.11 and 0.16294 values between 0.16 and 0.21211 values between 0.21 and 0.27145 values between 0.27 and 0.3290 values between 0.32 and 0.3752 values between 0.37 and 0.4217 values between 0.42 and 0.4814 values between 0.48 and 0.5310 values between 0.53 and 0.582 values between 0.58 and 0.631 values between 0.63 and 0.692 values between 0.69 and 0.741 values between 0.74 and 0.791 values between 0.84 and 0.901 values between 1.11 and 1.161 values between 1.37 and 1.421 values between 1.42 and 1.47offnegativepositiveoften

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. (AP
  2. 枞
  3. rance
  4. 的男人
  5. ière
  6. 二字
  7. 人死亡
  8. уг
  9. 的女人
  10. aption

Suppresses

  1. .CreateDirectory
  2. ump
  3. ursively
  4. illery
  5. .","
  6. 历史上
  7. スマ
  8. ことで
  9. 才
  10. 际