Neuron Explorer

Qwen3-0.6B

unclear: body harm and skin wear

A neuron in layer 8 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. It lights up on words like 'butt', 'plaque', 'over' and 'up' in sentences about things wearing down, building up or rubbing on a surface, and it switches off in sentences about someone being hurt or stung. Turning it up gave rambling text that had nothing to do with those topics.

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

    non-biodegradable plastic, so recycle whenever you can. Cigarette butts are pollution and may be eaten by animals. As a research one cigarette butt can damage ten liters of water around it. Cigarette butts reduce the

  2. #2 peak

    have the experience or tools to treat serious damage, where an endodontist does.⏎The type of issues an endodontist treats⏎While minor issues such as plaque buildup or even a minor chip in the tooth may only need the services of a

  3. #3 peak

    In the beginning, actinic keratoses are frequently so small that they are recognized by touch rather than sight. It feels as if you were running a finger over sandpaper. There are many times the number of invisible (subclinical) lesions

  4. #4 peak

    ides. This affects the skin’s ability to retain moisture. When the outer layer of skin is too dry, skin cells aren’t shed properly and the cells build up on the surface of the skin causing it to look rough and flaky.⏎Some

  5. #5 peak

    ivitis, which is the only reversible stage of the disease. This causes gum inflammation, pain while chewing, or bleeding and swollen gums. This is caused by plaque on the teeth. However, if gum disease is diagnosed early on, Dr.

  6. #6 peak

    and June 2018. After the photo was taken, Y<|endoftext|>Generalized anxiety disorder (GAD) is an anxiety disorder that is characterized by excessive, uncontrollable and often irrational worry about everyday things that is disproportionate to the actual

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 know, I know, I know, I know, I know." It's not just a physical wound. It's a deep, painful injury, and I know you. I need to feel something, pain, and I can

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

    his high school bathroom and shot himself in the head.⏎Megan Meier, 13, committed suicide after being harassed

  2. #2 peak

    highly venomous snakes from Australia; a fruit bat; a European mushroom; a jellyfish named after its victim, an American tourist who apparently died after being stung by the species while swimming in Australia; a charismatic rhinoceros beetle from

  3. #3 peak

    Thomas, by Caravaggio (Michelangelo Merisi da, 1571–1610) which shows Thomas literally poking Jesus in the side to feel his wounds.⏎Pretty gross. It also depicts two other disciples looking

  4. #4 peak

    in a railroad station, before shooting a second time.⏎One bullet only grazed Garfield’s shoulder but the other one, the fatal one, hit him in the back missing his spinal cord although it passed the first lumbar vertebra and lodged

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. L7:1483 excites
  2. L7:2135 suppresses
  3. L6:1982 suppresses
  4. L4:2701 weakly suppresses
  5. L7:1010 weakly suppresses
  6. L1:2801 weakly excites
  7. L7:2815 weakly suppresses
  8. L6:1853 weakly suppresses
  9. L3:2510 weakly excites the word 'operation' and its forms
  10. L4:2580 weakly suppresses
  11. L7:2836 weakly suppresses
  12. L5:50 weakly excites
  13. L5:731 weakly suppresses
  14. L7:2299 weakly suppresses
  15. L6:2408 weakly suppresses
  16. L7:2348 weakly suppresses
  17. L5:2054 weakly excites
  18. L5:2111 weakly suppresses
  19. L5:66 weakly excites
  20. L3:2824 weakly excites
  21. L6:2232 weakly suppresses
  22. L1:530 weakly excites
  23. L5:3042 weakly excites
  24. L5:753 weakly excites

Feeds later layers

  1. L20:2940 suppresses
  2. L14:2659 suppresses
  3. L10:1495 suppresses
  4. L9:801 suppresses
  5. L22:586 suppresses
  6. L21:2937 excites
  7. L9:267 suppresses
  8. L11:2424 suppresses
  9. L11:886 suppresses
  10. L17:1847 suppresses
  11. L23:1730 weakly suppresses
  12. L22:692 weakly excites
  13. L17:1853 weakly suppresses
  14. L15:151 weakly excites
  15. L10:1928 weakly suppresses
  16. L24:2201 weakly excites
  17. L21:1653 weakly suppresses
  18. L22:1596 weakly suppresses
  19. L10:2310 weakly suppresses
  20. L17:2276 weakly excites
  21. L25:2104 weakly suppresses
  22. L11:1122 weakly suppresses
  23. L9:2807 weakly excites
  24. L11:2895 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 -3.16 and -3.012 values between -2.86 and -2.721 values between -2.42 and -2.281 values between -2.13 and -1.981 values between -1.98 and -1.841 values between -1.69 and -1.542 values between -1.40 and -1.253 values between -1.11 and -0.962 values between -0.96 and -0.813 values between -0.81 and -0.6710 values between -0.67 and -0.5226 values between -0.52 and -0.37143 values between -0.37 and -0.23687 values between -0.23 and -0.081824 values between -0.08 and 0.07880 values between 0.07 and 0.21227 values between 0.21 and 0.3653 values between 0.36 and 0.5111 values between 0.51 and 0.655 values between 0.65 and 0.8010 values between 0.80 and 0.953 values between 0.95 and 1.094 values between 1.09 and 1.244 values between 1.24 and 1.391 values between 1.53 and 1.681 values between 1.97 and 2.121 values between 2.12 and 2.271 values between 2.56 and 2.71offnegativepositiveoften

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. erview
  2. enable
  3. 为什么
  4. converted
  5. converted
  6. taxis
  7. damn
  8. artz
  9. comp
  10. reint

Suppresses

  1. 傷
  2. 伤害
  3. injury
  4. 捶
  5. Injury
  6. damage
  7. 肩膀
  8. hurts
  9. 膝盖
  10. INDIRECT