Neuron Explorer

Qwen3-0.6B

vitamin D mentions

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 reacts to the letter D in "vitamin D," especially in health texts about sunlight, bones and calcium. Its strongest negative responses come on words like "look-up" and "lookups" in technical text. Turning it up did not produce any clear health theme in the outputs.

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

    ema, but does have mild tenderness along the distal tibial shaft. Plain radiographs are negative. What is the most appropriate management?⏎vitamin D and calcium levels⏎MRI of the pelvis⏎long leg cast⏎aspiration

  2. #2 peak

    because they are smaller and allow the electrons to interact more<|endoftext|>Appropriate vitamin D levels are important, as they contribute to heart health, healthy bone growth, and

  3. #3 peak

    tuberculosis. However, studies have not shown it to be successful for curing tuberculosis but at the same time, a lot of people who have tuberculosis end up having vitamin D and other vitamin shortages. These people need to especially take vitamin D and multiv

  4. #4 peak

    working with resistanec bands or weights.⏎Diet: Calcium and Vitamin D are important for strong bones. High-calcium foods include:⏎- Dairy products

  5. #5 peak

    as obesity, celiac or renal disease, or even liver disease.⏎Up Your Vitamin D Intake⏎There are various options that can help you increase your vitamin D levels. Changing your diet to provide you with more vitamin D can be a good

  6. #6 peak

    specific threats it has faced before.⏎Recall the old days when people with tuberculosis went to sunny locations to cure their illness? The primary benefit was production of vitamin D from solar ultraviolet-B (UVB) exposure, followed by strengthening the innate

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 the month. For example, the number 1234567890123456789, which is a decimal number. This type of data is stored in a variable,

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

    1 4 9 16 25.........⏎Basics: Divide integers to get integer outputs in all cases⏎Determine value using Look-up table method⏎Create Volcano (or Atoll) martix. It is

  2. #2 peak

    a database type of GLib, and a library-specific creator ID. The GLib library will usually contain three resources: GLib 0 (the code), data 0 (the library globals), and rloc 0 (the data relocation

  3. #3 peak

    specifications, you want to return the value from either column B, C or D and so on. In such case, we are speaking of 2D lookups or a two way lookup. So we search in both rows and columns at the

  4. #4 peak

    fixed. Unfortunately, the problem of a two way lookup comes up quite often. In this article we explore 4 methods of how to conduct 2D lookups in Excel.⏎+++NEW+++NEW+++NEW+++ 2D XLOOKUP

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. L7:1461 excites
  2. L7:2473 excites
  3. L6:2810 suppresses
  4. L5:2934 suppresses
  5. L6:919 excites
  6. L5:2554 weakly excites
  7. L5:1551 weakly suppresses
  8. L7:2012 weakly excites
  9. L5:1582 weakly excites
  10. L4:2474 weakly excites the word 'constant' in science and maths
  11. L7:1557 weakly excites
  12. L6:1555 weakly suppresses
  13. L4:1893 weakly excites
  14. L3:1942 weakly suppresses
  15. L7:1246 weakly excites
  16. L2:2687 weakly suppresses
  17. L5:1517 weakly excites
  18. L2:2775 weakly excites
  19. L6:2743 weakly suppresses
  20. L1:717 weakly excites
  21. L5:777 weakly excites
  22. L5:2488 weakly suppresses
  23. L6:1372 weakly excites
  24. L7:1795 weakly excites

Feeds later layers

  1. L11:828 suppresses
  2. L10:1235 suppresses
  3. L10:2333 suppresses
  4. L12:1645 suppresses
  5. L15:2096 suppresses
  6. L15:2775 suppresses
  7. L11:2343 suppresses
  8. L9:427 suppresses
  9. L12:1013 excites
  10. L9:1261 suppresses
  11. L9:639 suppresses
  12. L12:1601 suppresses
  13. L11:2045 suppresses
  14. L10:2018 suppresses
  15. L10:1520 suppresses
  16. L14:1368 excites
  17. L12:1650 suppresses
  18. L9:2381 suppresses
  19. L16:2752 suppresses
  20. L22:1581 suppresses
  21. L9:893 weakly excites
  22. L13:2089 weakly suppresses
  23. L10:1664 weakly excites
  24. L9:2276 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 -1.79 and -1.711 values between -1.36 and -1.271 values between -0.92 and -0.844 values between -0.84 and -0.755 values between -0.75 and -0.661 values between -0.66 and -0.587 values between -0.49 and -0.4027 values between -0.40 and -0.3291 values between -0.32 and -0.23263 values between -0.23 and -0.14733 values between -0.14 and -0.061415 values between -0.06 and 0.03823 values between 0.03 and 0.12340 values between 0.12 and 0.20128 values between 0.20 and 0.2938 values between 0.29 and 0.3811 values between 0.38 and 0.464 values between 0.46 and 0.553 values between 0.55 and 0.643 values between 0.64 and 0.722 values between 0.72 and 0.811 values between 0.81 and 0.901 values between 0.90 and 0.992 values between 1.25 and 1.331 values between 1.42 and 1.512 values between 1.59 and 1.68offnegativepositiveoften

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. amel
  2. ARGIN
  3. AME
  4. ection
  5. ame
  6. Method
  7. Network
  8. .Buffered
  9. PACE
  10. enschaft

Suppresses

  1. ormap
  2. 片
  3. lookup
  4. afort
  5. égor
  6. lookup
  7. dictionaries
  8. icons
  9. 诎
  10. valores