Neuron Explorer

Qwen3-0.6B

smell and taste words in health text

A neuron in layer 5 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on words for smells, tastes and colours of things in health and medical writing, like 'odour', 'smelling', 'metallic taste' and 'opacities'. Turning it up made the model write about feeling unwell and symptoms, which fits that topic.

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

    ur-producing bacteria that live on the surface of the gums, tongue and throat. When these bacteria in the mouth break down protein, they release a sulphurous odour – causing bad breath. Improperly-digested food, known as ama

  2. #2 peak

    cold intolerance⏎- Disordered appetite, increase or decrease in weight⏎- Increased thirst or urination⏎- Loss of sex drive⏎- Bloody or foul-smelling discharge⏎- Acne or abnormal hair growth⏎- Visual difficulties⏎- Imp

  3. #3 peak

    era) and the maripa palm (Attalea maripa). Palm mesocarp oil which is 49% saturated, is generally reddish in colour because of high beta

  4. #4 peak

    West, but across the continent.⏎We know that statements<|endoftext|>Cataracts are, unfortunately, one of the most common eye problems in pets. They are opacities in the lens of the eye and can affect any age, species, or

  5. #5 peak

    to a doctor to get the treatment you need.⏎Does your urine have a sweet-smelling stench? As Amy Krambeck, a specialist at the Mayo Urinary

  6. #6 peak

    notice a strong urine smell. First, think about the amount of water you’ve drunk in the last couple

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 don't think that the idea of a place where the sun and the moon are separate. But I don't accept that the sun and the moon have their own day. So, 1:1:1:1:1:

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

    ?⏎: a characteristically anonymous, timeless, and placeless tale circulated orally among a people.⏎Is Cinderella a folktale or fairy tale?⏎Cinderella is considered a fairy tale, not a folk tale. Folk tales have a basis

  2. #2 peak

    , does it?"⏎Ryan started to wonder about how the universe began, asking Lisle, "What about the Big Bang?"⏎Lisle answered, "The Big Bang teaches<|endoftext|>Fig.1 above refer to a point moving along a circular path.

  3. #3 peak

    implies that the universe is...?⏎- Decreasing in Entropy⏎4. The reason galaxies move apart is because of...?⏎- The force of the big bang which caused the galaxies to move away at a velocity related to their size.⏎-

  4. #4 peak

    Whitewright in 1891⏎Like many other Texas cities, Whitewright owes its founding to the arrival of the railroad and the westward movement of

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. L4:980 weakly excites
  2. L3:2452 weakly suppresses
  3. L4:2344 weakly excites
  4. L3:2032 weakly suppresses
  5. L0:2609 weakly suppresses
  6. L4:1352 weakly excites
  7. L4:783 weakly suppresses
  8. L4:2115 weakly excites
  9. L2:728 weakly suppresses
  10. L3:2391 weakly suppresses
  11. L1:394 weakly excites
  12. L1:2296 weakly excites
  13. L3:2663 weakly suppresses
  14. L2:695 weakly excites
  15. L4:1410 weakly excites
  16. L2:2771 weakly suppresses
  17. L4:1172 weakly excites
  18. L3:1235 weakly suppresses
  19. L4:2797 weakly excites
  20. L4:2565 weakly excites
  21. L4:1405 weakly excites
  22. L4:2893 weakly suppresses the word 'means' after a subject
  23. L4:2767 weakly suppresses
  24. L4:2856 weakly excites

Feeds later layers

  1. L6:2161 excites
  2. L9:3021 weakly suppresses
  3. L8:3022 weakly excites
  4. L6:2725 weakly excites
  5. L16:2644 weakly excites
  6. L8:2082 weakly excites
  7. L11:1675 weakly suppresses
  8. L9:466 weakly suppresses
  9. L7:1679 weakly excites
  10. L10:1084 weakly excites
  11. L12:2388 weakly suppresses
  12. L7:1087 weakly suppresses
  13. L10:546 weakly excites
  14. L15:357 weakly excites
  15. L21:2796 weakly suppresses
  16. L6:2449 weakly excites
  17. L9:244 weakly excites
  18. L7:2185 weakly suppresses
  19. L19:1982 weakly excites
  20. L7:1646 weakly excites
  21. L9:921 weakly excites
  22. L12:1296 weakly suppresses
  23. L10:1231 weakly suppresses
  24. L9:783 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 -1.86 and -1.661 values between -1.66 and -1.462 values between -1.05 and -0.851 values between -0.85 and -0.657 values between -0.65 and -0.45115 values between -0.45 and -0.251278 values between -0.25 and -0.042204 values between -0.04 and 0.16249 values between 0.16 and 0.3621 values between 0.36 and 0.568 values between 0.56 and 0.776 values between 0.77 and 0.973 values between 0.97 and 1.173 values between 1.17 and 1.373 values between 1.37 and 1.571 values between 1.57 and 1.781 values between 2.18 and 2.381 values between 2.38 and 2.581 values between 2.99 and 3.191 values between 5.82 and 6.021 values between 6.02 and 6.22offnegativepositiveoften

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. ตาร
  2. ignant
  3. ripp
  4. ')[
  5. еть
  6. aup
  7. $',
  8. ,’
  9. .'.
  10. pery

Suppresses

  1. sciences
  2. compos
  3. rost
  4. 一次次
  5. astronom
  6. ⎝
  7. 天赋
  8. 人生
  9. 医科
  10. prolong