Neuron Explorer

Qwen3-0.6B

unclear: nutrition and digestion lists

A neuron in layer 26 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron is hard to pin down. Its strongest moments come in health and food writing, such as the words "esophagus", "and" in a list of fats, and "in" before food types, but these look like a loose mix rather than one clear idea. Turning it up produced nonsense words like "acrophile", so the steering result does not help explain it.

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

    to a 75 watt bulb) which will give you more light<|endoftext|>The stomach is a key part of the gastrointestinal (GI) tract, sitting between the esophagus and duodenum. Its functions are to mix food with stomach acid

  2. #2 peak

    .⏎The pancreas is known as the enzyme “powerhouse” for the entire body, as it is responsible for the enzymes needed to break down carbohydrates, proteins and fats.⏎You may have an idea, but there are many kinds of digestive enzymes

  3. #3 peak

    , palm and coconut oils, sugary foods and beverages, saturated fat – found mostly in foods that come from animals; trans fat (trans fatty acids) – found in

  4. #4 peak

    All beans, legumes, grains and pulses; all soups, stews and casseroles; custard and yoghurt; steamed veggies; basmati, white, brown and sushi rice; mieliepap,

  5. #5 peak

    quate levels of vitamin D can have serious health consequences.⏎As a fat-soluble vitamin -- others are A, E and K -- vitamin D can be stored in the tissues of your body. This is in sharp contrast to water-soluble

  6. #6 peak

    no animal source foods (ASFs). Vitamin B12 is found in red meat, seafood, dairy products and eggs, and in fortified packaged cereals in developed countries

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 per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per per

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

    , and the impact that it had in their lives after the recovery of democracy in 1983.⏎The Navy Mechanical School (Escuela de Mecánica de la Armada

  2. #2 peak

    to recovery⏎Five years ago, Mosul Museum grabbed international headlines when the Islamic State (IS) group released footage of militants defacing priceless artefacts with sledgeham

  3. #3 peak

    , there is the risk of a major collapse in agricultural production in poor countries. This will increase malnutrition already at elevated levels in these countries.⏎Sr. Bénédicte Kikwengi, SNDdeN works with her students

  4. #4 peak

    any decision.⏎Keeps You Well-informed⏎If you consider all the facts before making any decision, then you will

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. L24:533 weakly suppresses
  2. L2:1302 weakly excites
  3. L16:478 weakly suppresses
  4. L20:111 weakly suppresses
  5. L18:242 weakly excites
  6. L18:1442 weakly suppresses unclear: word fragments and digits inside numbers
  7. L19:256 weakly excites
  8. L1:1654 weakly excites
  9. L0:1406 weakly suppresses
  10. L16:1040 weakly suppresses
  11. L16:48 weakly excites
  12. L20:836 weakly suppresses
  13. L24:2590 weakly excites
  14. L20:149 weakly excites
  15. L0:366 weakly excites
  16. L0:638 weakly excites
  17. L16:60 weakly excites
  18. L9:498 weakly suppresses
  19. L0:1370 weakly excites
  20. L16:30 weakly suppresses
  21. L19:901 weakly suppresses
  22. L20:1574 weakly excites
  23. L1:2421 weakly suppresses
  24. L23:1408 weakly suppresses

Feeds later layers

  1. L27:2772 weakly suppresses
  2. L27:2541 weakly excites
  3. L27:1326 weakly excites
  4. L27:394 weakly excites
  5. L27:1654 weakly excites
  6. L27:2302 weakly excites
  7. L27:2540 weakly excites
  8. L27:205 weakly suppresses
  9. L27:834 weakly suppresses
  10. L27:2166 weakly excites
  11. L27:61 weakly suppresses
  12. L27:1764 weakly suppresses
  13. L27:2181 weakly suppresses
  14. L27:392 weakly excites
  15. L27:1843 weakly excites
  16. L27:1682 weakly suppresses
  17. L27:2157 weakly excites
  18. L27:1321 weakly suppresses
  19. L27:2258 weakly excites
  20. L27:1413 weakly suppresses
  21. L27:1920 weakly suppresses
  22. L27:2011 weakly excites unclear: word pieces near 'tag' and Q&A breaks
  23. L27:1470 weakly excites
  24. L27:2959 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 -21.22 and -20.373 values between -13.59 and -12.752 values between -11.05 and -10.202 values between -10.20 and -9.363 values between -9.36 and -8.515 values between -8.51 and -7.664 values between -7.66 and -6.827 values between -6.82 and -5.979 values between -5.97 and -5.128 values between -5.12 and -4.2715 values between -4.27 and -3.4339 values between -3.43 and -2.5853 values between -2.58 and -1.73119 values between -1.73 and -0.881646 values between -0.88 and -0.041551 values between -0.04 and 0.81195 values between 0.81 and 1.6690 values between 1.66 and 2.5146 values between 2.51 and 3.3531 values between 3.35 and 4.2022 values between 4.20 and 5.0516 values between 5.05 and 5.898 values between 5.89 and 6.749 values between 6.74 and 7.593 values between 7.59 and 8.447 values between 8.44 and 9.284 values between 9.28 and 10.134 values between 10.13 and 10.983 values between 10.98 and 11.833 values between 11.83 and 12.67offnegativepositiveoften

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. ac
  2. urious
  3. tit
  4. egral
  5. (ac
  6. ateral
  7. ainer
  8. uz
  9. uros
  10. lique

Suppresses

  1. ibern
  2. boom
  3. 羽毛
  4. смотреть
  5. 有助
  6. 泊
  7. 杪
  8. bars
  9. 빈
  10. oggles