Neuron Explorer

Qwen3-0.6B

the word 'dental' in oral health

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

The neuron lights up on the word 'dental' when the text is about teeth, gums, and dental care, such as 'regular dental exams'. Turning it up did not produce dental text in the sample outputs, so the link is only visible in the snippets.

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

    part of the jaw into which the teeth are rooted.⏎The socket in the alveolar bone into which the tooth’s root fits.⏎An alloy used in direct dental restorations.⏎Loss of pain sensations without loss of consciousness.⏎A condition where

  2. #2 peak

    to be sure brushing and flossing are part of the daily care routine.⏎In addition to poor oral hygiene, reduced saliva production and certain medications can also cause dental issues in older adults. The most common problems include cavities, gum disease and

  3. #3 peak

    process.⏎If your teeth have become more sensitive in general, or in response to hot or cold foods or beverages, you may have acid erosion. To schedule a dental checkup with Greg Ritchie at Ritchie Dental Group, call 83

  4. #4 peak

    attacked yet. Bleeding gums is usually one of the first symptoms experienced if you have gingivitis in Merrimack, NH. Proper oral hygiene, regular dental exams,

  5. #5 peak

    oral health and avoiding dental disorders. Brushing, flossing, using mouthwash regularly, and minimizing

  6. #6 peak

    natural<|endoftext|>If you are conscious about your teeth, you must know how to take care of teeth. Proper maintenance requires proper care to maintain good oral health and prevent dental problems such as cavities,

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 best way to learn about the math. The problem would be similar to what you can get on Algebrator. So, if I were to get a book on this, I would definitely recommend that you get the Algebr

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

    o parts online.⏎Also check up this related question :"Do any programs exist that allow you to build own LEGO plans?"⏎For

  2. #2 peak

    guidance in the development of assessment standards., learning plan template for employees, personal learning plan template, individual learning plan template doc, professional learning plan template.⏎When you try to get related information on sample learning, you may look for related areas. sample

  3. #3 peak

    . examples of problem solving in math, and all you need to know about this november, work then this business example of

  4. #4 peak

    no doubt important but still many students find it difficult to solve tasks like calculating limits and functions. It is true that today we have online limit calculators that can help in limit calculation. In this post we are going to discuss the reasons as to

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. L7:2153 strongly suppresses
  2. L7:1275 excites
  3. L7:687 suppresses
  4. L4:2721 suppresses
  5. L7:1252 weakly suppresses
  6. L7:1787 weakly excites
  7. L5:28 weakly excites
  8. L3:1514 weakly excites
  9. L4:1076 weakly excites
  10. L6:12 weakly excites
  11. L6:1267 weakly suppresses
  12. L6:1753 weakly excites
  13. L2:559 weakly suppresses
  14. L1:1464 weakly excites
  15. L7:982 weakly excites
  16. L7:2846 weakly suppresses
  17. L0:328 weakly suppresses
  18. L7:1607 weakly excites
  19. L6:16 weakly excites
  20. L6:1694 weakly suppresses
  21. L6:17 weakly suppresses
  22. L4:1234 weakly excites
  23. L7:745 weakly suppresses
  24. L7:1965 weakly excites

Feeds later layers

  1. L10:2384 suppresses place and journal names in citations
  2. L17:2116 excites
  3. L18:1454 weakly suppresses
  4. L18:2907 weakly excites
  5. L22:2568 weakly suppresses
  6. L22:1019 weakly suppresses
  7. L21:1856 weakly suppresses
  8. L20:2480 weakly suppresses
  9. L9:2852 weakly excites
  10. L24:336 weakly excites
  11. L19:1310 weakly suppresses
  12. L9:1327 weakly excites
  13. L9:96 weakly suppresses
  14. L20:2625 weakly suppresses
  15. L24:1133 weakly suppresses
  16. L12:421 weakly excites
  17. L9:2945 weakly suppresses
  18. L18:1633 weakly excites
  19. L23:2779 weakly suppresses
  20. L17:186 weakly suppresses
  21. L22:744 weakly suppresses
  22. L9:365 weakly excites
  23. L15:2852 weakly suppresses
  24. L9:698 weakly excites

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 -0.92 and -0.852 values between -0.70 and -0.624 values between -0.62 and -0.554 values between -0.55 and -0.4715 values between -0.47 and -0.4031 values between -0.40 and -0.3268 values between -0.32 and -0.25163 values between -0.25 and -0.17352 values between -0.17 and -0.10642 values between -0.10 and -0.02828 values between -0.02 and 0.06664 values between 0.06 and 0.13486 values between 0.13 and 0.21320 values between 0.21 and 0.28165 values between 0.28 and 0.3684 values between 0.36 and 0.4348 values between 0.43 and 0.5119 values between 0.51 and 0.586 values between 0.58 and 0.665 values between 0.66 and 0.731 values between 2.01 and 2.09offnegativepositiveoften

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. ropdown
  2. 空气
  3. �新
  4. 迟到
  5. rift
  6. async
  7. nock
  8. >,</
  9. []}
  10. 吸入

Suppresses

  1. brace
  2. .debian
  3. -domain
  4. ajes
  5. -linux
  6. -La
  7. (fun
  8. 篓
  9. ************************************************************************
  10. 'Re