Neuron Explorer

Qwen3-0.6B

weight loss and body fat words

A neuron in layer 10 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 fires on words about losing weight or body fat, such as 'lose weight', 'excess body fat' and 'reduce weight'. Its negative side fires on wording in technical documentation, such as 'this variable identifies' or 'property allows'. Turning it up did not produce a clear diet theme in the output.

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

    to run continuously.⏎Reduce indoor air pollution sources such as smoking, burning incense, and frying foods.⏎If travelling in a car with air conditioning, keep the windows up and the ventilation set to recirculate.⏎If you are very sensitive to

  2. #2 peak

    diet, it is also important to get proper amounts of vitamins, minerals and other nutrients. It is also important to avoid fat when you are trying to shed excess fat from your body. The reason being is that fat contains more calories than protein.

  3. #3 peak

    the higher your body fat content (calculate your body fat now), the higher the concentration of leptin in

  4. #4 peak

    uncertain what aspect of chocolate promotes slender physiques, but suspect it is caused by catechins. These compounds have been shown to improve lean muscle mass and reduce weight in mice. Chocolate also contains caffeine, which can boost metabolism. This research,

  5. #5 peak

    beneficial in many aspects.⏎One of the best benefits to your daily lives is a natural fat-burning properties. Almonds are used, of course, to lose weight, and the added benefit of a good fiber content is incredible. They are rich

  6. #6 peak

    to maintain their current weight is to eat a well balanced diet composed of a variety of foods. To lose weight, your body needs a variety of nutrients. This can be accomplished by eating a

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 have a few days of work experience in the field of education. This is a small part of the education system. I need to add a new section in the educational system. So, to be specific, I think the

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

    (CANBERRA TIME) 24/04/2001⏎|Page tools: Print Page RSS Search this Product|⏎This variable identifies holders of Australian citizenship.⏎Citizenship data are used to obtain information on the

  2. #2 peak

    an area of interest via GetText.⏎Sometimes you may wish to be more selective about whether text⏎is returned or not. The ClippedTextTolerance property allows you to⏎define a rectangular area in the center of the character, the⏎

  3. #3 peak

    the start point of the sequence. By default it is 0 and this is an optional value.⏎- stop is the stop point of the sequence. It is not included in the sequence. It

  4. #4 peak

    constant space.⏎In an imperative language (here Modula-3) the same would be achieved with the following code:⏎TYPE List = REF RECORD next: List; value: INTEGER; END;⏎VAR x := NEW(List, value:=1);

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. L8:943 suppresses
  2. L9:1583 suppresses
  3. L9:566 excites
  4. L7:1325 suppresses
  5. L7:177 excites
  6. L6:623 suppresses
  7. L7:739 suppresses
  8. L9:1951 suppresses
  9. L6:288 excites
  10. L6:572 weakly excites
  11. L6:2755 weakly suppresses
  12. L8:300 weakly suppresses
  13. L7:1082 weakly suppresses
  14. L8:1871 weakly suppresses
  15. L7:525 weakly suppresses
  16. L9:2080 weakly excites
  17. L8:1782 weakly suppresses
  18. L9:1926 weakly excites
  19. L9:1786 weakly excites
  20. L9:1337 weakly suppresses
  21. L9:112 weakly excites
  22. L9:801 weakly excites
  23. L6:1309 weakly excites
  24. L7:504 weakly suppresses

Feeds later layers

  1. L11:960 excites
  2. L16:2370 suppresses
  3. L11:2382 suppresses
  4. L12:1291 suppresses
  5. L11:781 suppresses
  6. L12:660 suppresses
  7. L11:882 excites
  8. L12:350 suppresses
  9. L17:2565 suppresses
  10. L12:1339 suppresses
  11. L12:886 weakly suppresses
  12. L11:935 weakly excites
  13. L12:1413 weakly excites
  14. L15:2368 weakly suppresses
  15. L14:265 weakly suppresses
  16. L13:1299 weakly suppresses
  17. L14:972 weakly suppresses
  18. L22:2311 weakly excites
  19. L12:2201 weakly suppresses
  20. L13:2403 weakly suppresses
  21. L12:1541 weakly suppresses
  22. L11:515 weakly excites 'hands' in hand-washing advice
  23. L11:1733 weakly excites
  24. L12:1478 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 -1.37 and -1.281 values between -1.11 and -1.031 values between -0.94 and -0.863 values between -0.86 and -0.771 values between -0.77 and -0.692 values between -0.69 and -0.601 values between -0.60 and -0.528 values between -0.52 and -0.4310 values between -0.43 and -0.3524 values between -0.35 and -0.26106 values between -0.26 and -0.18355 values between -0.18 and -0.09864 values between -0.09 and -0.011184 values between -0.01 and 0.08765 values between 0.08 and 0.16368 values between 0.16 and 0.25137 values between 0.25 and 0.3343 values between 0.33 and 0.4217 values between 0.42 and 0.508 values between 0.50 and 0.593 values between 0.67 and 0.761 values between 0.76 and 0.841 values between 0.84 and 0.931 values between 1.01 and 1.101 values between 1.18 and 1.271 values between 1.35 and 1.441 values between 1.95 and 2.03offnegativepositiveoften

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. ubs
  2. icular
  3. iples
  4. NotSupportedException
  5. /cms
  6. ียว
  7. Forms
  8. bruises
  9. iku
  10. ยว

Suppresses

  1. chie
  2. 道
  3. che
  4. ElapsedTime
  5. 객
  6. leading
  7. OwnerId
  8. descent
  9. heiro
  10. spiel