Neuron Explorer

Qwen3-0.6B

anatomy terms, especially salivary glands

A neuron in layer 9 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 responds to body and biology words, most clearly the pieces of 'salivary' and related gland and tissue terms. Turning it up did not produce a clear change in what the model wrote.

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

    /etc as a search path too.<|endoftext|>Salivary gland (Endocrine system)⏎: #1 is , #2 is , #3 is⏎The salivary glands in are that produce . They also secrete , an that breaks down

  2. #2 peak

    .⏎During pretreatment, biomass feedstock undergoes a process to mechanically or chemically fractionate the lignocellulosic complex into soluble and insoluble components. Soluble components include mixtures of

  3. #3 peak

    ? Why was Jesus worthy of worship? (God, Jesus is God the Son in human flesh–fully God and fully human)⏎Take time to talk to your kids about

  4. #4 peak

    saliva proceeds to aid in digestion. The saliva that salivary glands release is quickly inactivated in the stomach by the acid that is present there.⏎The salivary

  5. #5 peak

    itudinal, circular, oblique), myenteric (Auerbach’s) plexus|⏎|Serosa||Connective tissue, mesoderm|⏎Histology may not be the easiest to digest, but we will help you

  6. #6 peak

    . Approximately 5% of saliva entering the oral cavity come from these glands.⏎Minor Salivary Glands⏎There are over 600 minor saliv

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: can we use a higher budget for the 2010s? And I don't want to see the same amount of change in the 2010s compared to 2015, like the one before?

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

    Digital Audio, that’s technological illustrations. You are having indications about weather from a weather sensor, that’s technological illustrations. You are taking to Driver Instructor while driving the car, that’s technological illustrations

  2. #2 peak

    ) is a proto-oncogene that encodes a protein known as hepatocyte growth factor receptor (HGFR). The hepatocyte growth factor receptor protein possesses tyrosine-kinase activity. The primary single chain precursor protein is post-translation

  3. #3 peak

    common in children. A type of cancer derived from immature precursor cells or embryonic tissue.|⏎Cell Signaling in Tumorigenesis⏎There are multiple signaling pathways that contribute to cell proliferation, motility and survival. In cancer, components

  4. #4 peak

    lived in isolation from human contact from a young age and has no experience of human care, loving or social behaviour and even human language. Feral children often become mentally and physically impaired.⏎There are a few examples

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. L6:1201 suppresses
  2. L6:1518 weakly suppresses
  3. L3:1259 weakly suppresses
  4. L0:384 weakly excites
  5. L8:2188 weakly excites
  6. L0:260 weakly suppresses
  7. L1:2280 weakly excites
  8. L7:1325 weakly suppresses
  9. L7:1095 weakly suppresses
  10. L3:862 weakly excites
  11. L7:204 weakly suppresses
  12. L1:2456 weakly excites
  13. L1:1587 weakly excites
  14. L5:2004 weakly suppresses
  15. L3:1866 weakly excites
  16. L6:1207 weakly excites
  17. L6:778 weakly suppresses
  18. L7:1071 weakly excites
  19. L6:3046 weakly suppresses
  20. L8:743 weakly suppresses
  21. L3:540 weakly excites
  22. L3:2556 weakly suppresses
  23. L0:940 weakly suppresses
  24. L6:2161 weakly suppresses

Feeds later layers

  1. L11:1555 excites
  2. L10:540 suppresses
  3. L12:662 weakly suppresses
  4. L16:1604 weakly suppresses
  5. L11:2557 weakly excites
  6. L12:2150 weakly excites
  7. L10:1864 weakly excites
  8. L12:1454 weakly excites
  9. L15:372 weakly suppresses
  10. L22:3016 weakly excites
  11. L11:172 weakly suppresses
  12. L10:2260 weakly excites
  13. L16:2587 weakly excites
  14. L12:2059 weakly excites
  15. L20:2468 weakly excites
  16. L14:1658 weakly excites
  17. L14:2329 weakly suppresses
  18. L12:1007 weakly excites
  19. L20:2226 weakly suppresses
  20. L18:2152 weakly excites
  21. L21:811 weakly excites
  22. L12:714 weakly excites
  23. L10:2903 weakly excites
  24. L10:345 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 -2.06 and -1.961 values between -1.86 and -1.761 values between -1.66 and -1.561 values between -1.56 and -1.461 values between -1.26 and -1.164 values between -1.16 and -1.066 values between -1.06 and -0.962 values between -0.96 and -0.8611 values between -0.86 and -0.7612 values between -0.76 and -0.6624 values between -0.66 and -0.5728 values between -0.57 and -0.4748 values between -0.47 and -0.3799 values between -0.37 and -0.27217 values between -0.27 and -0.17562 values between -0.17 and -0.071763 values between -0.07 and 0.03662 values between 0.03 and 0.13224 values between 0.13 and 0.2397 values between 0.23 and 0.3346 values between 0.33 and 0.4332 values between 0.43 and 0.5318 values between 0.53 and 0.6311 values between 0.63 and 0.7311 values between 0.73 and 0.838 values between 0.83 and 0.937 values between 0.93 and 1.033 values between 1.03 and 1.135 values between 1.13 and 1.231 values between 1.43 and 1.522 values between 1.82 and 1.92offnegativepositiveoften

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. 性质
  2. 就需要
  3. 借助
  4. 我们就
  5. -app
  6. 中介机构
  7. 能力和
  8. [Y
  9. TextInputType
  10. 提出了

Suppresses

  1. dbuf
  2. ่าง
  3. mlin
  4. phan
  5. _ping
  6. uations
  7. neath
  8. pac
  9. odes
  10. _cover