Neuron Explorer

Qwen3-0.6B

zeros inside decimal numbers

A neuron in layer 13 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

This neuron responds to the digit 0 when it sits inside a number, especially after a decimal point, as in "0.03 g" or "172.16.0.0". When it was turned up, the model drifted into number-heavy output, which fits the theme.

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

    5.9 g in 125 ml pot of plain whole yogurt and 0.03 g in 25 g of cheddar cheese.⏎Cow’s milk allergy

  2. #2 peak

    0⏎network => 172.16.0.0/15 IP: 10101100.00010000.00000000.

  3. #3 peak

    . This is not the case with a feature that has a specific tolerance i.e.: a nominal and an upper and lower spec limit (1.0 +/- .005). It might be tempting to put a quality stamp on a feature if

  4. #4 peak

    starting from 86. It is easy to check that the sequence doesn’t contain any more numbers below 200 and our estimate predicts 0.07 members after 200. As we continue checking larger numbers and see

  5. #5 peak

    in the right hand by 2 and to say 'OK' when he has the answer.⏎- Ask him to multiply the coin in the left hand by 17 and to say 'OK' when he has the answer. If it took

  6. #6 peak

    also sometimes called step size) to determine the next point. For example, if the gradient magnitude is 2.5 and the learning rate is 0.01, then the gradient descent algorithm will pick the next point 0.0

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: in the world, what is the meaning of? (e.g.,, for example, "home" as a meaning in "a" as a word) (e.g.,) (e.g.) "a" as a word,

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

    some strange ideas about “blackbodies”. The only difference between a blackbody and a non-blackbody is that the emissivity of a blackbody = 1, and the emissivity of a non-blackbody is less than 1.

  2. #2 peak

    in reverse order, we need to create a sequence for the for loop using range with:⏎- start as length of the array - 1⏎- stop as -<|endoftext|>12 April 1953: An air battle between Soviet Air

  3. #3 peak

    on geographic location, caste, class and gender.⏎This is underlined by the disparity between India’s best and worst performing states. For every 1,000 children born in Madhya Pradesh, 82 are lost to preventable

  4. #4 peak

    "independent expenditure" loophole permitted under a 1976 U.S. Supreme Court ruling. Although federal law restricted political action committees' expenditures to $10,000 per candidate, an organization could spend unlimited amounts of money

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. L11:1852 excites the digit 1 in numbers
  2. L11:871 excites zero and infinity as values
  3. L10:1284 excites
  4. L10:726 suppresses
  5. L10:2192 suppresses
  6. L9:1373 suppresses
  7. L11:241 suppresses
  8. L10:848 suppresses
  9. L7:382 suppresses
  10. L7:873 suppresses
  11. L7:662 excites
  12. L9:977 weakly suppresses the last digit of a decade year
  13. L4:961 weakly excites
  14. L12:1413 weakly suppresses
  15. L6:457 weakly excites
  16. L12:641 weakly excites
  17. L5:547 weakly suppresses
  18. L8:318 weakly suppresses
  19. L12:1296 weakly suppresses
  20. L9:620 weakly excites
  21. L11:1361 weakly suppresses
  22. L12:834 weakly excites
  23. L11:3058 weakly suppresses
  24. L8:1130 weakly excites

Feeds later layers

  1. L16:1695 weakly excites
  2. L14:357 weakly suppresses
  3. L19:2527 weakly excites
  4. L16:1534 weakly suppresses
  5. L14:528 weakly excites
  6. L14:934 weakly excites
  7. L15:974 weakly suppresses
  8. L16:2492 weakly excites
  9. L25:332 weakly excites
  10. L18:749 weakly suppresses
  11. L20:560 weakly excites
  12. L17:2455 weakly suppresses
  13. L25:1911 weakly excites
  14. L18:1719 weakly suppresses
  15. L15:2651 weakly excites
  16. L14:752 weakly suppresses
  17. L17:1165 weakly excites
  18. L15:1198 weakly excites
  19. L15:457 weakly suppresses
  20. L16:1146 weakly excites
  21. L23:1697 weakly excites
  22. L14:518 weakly excites
  23. L21:2039 weakly suppresses
  24. L17:660 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 -1.29 and -1.211 values between -1.21 and -1.131 values between -1.05 and -0.971 values between -0.89 and -0.811 values between -0.81 and -0.731 values between -0.73 and -0.651 values between -0.65 and -0.574 values between -0.57 and -0.498 values between -0.49 and -0.4127 values between -0.41 and -0.3394 values between -0.33 and -0.25221 values between -0.25 and -0.17553 values between -0.17 and -0.091014 values between -0.09 and -0.011298 values between -0.01 and 0.07438 values between 0.07 and 0.15157 values between 0.15 and 0.2345 values between 0.23 and 0.3121 values between 0.31 and 0.3911 values between 0.39 and 0.472 values between 0.47 and 0.551 values between 0.55 and 0.632 values between 0.63 and 0.711 values between 0.79 and 0.873 values between 0.87 and 0.951 values between 1.82 and 1.90offnegativepositiveoften

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. ort
  2. ymce
  3. ivil
  4. oste
  5. RICT
  6. iks
  7. avis
  8. vertime
  9. pong
  10. Advisor

Suppresses

  1. rooting
  2. жить
  3. Believe
  4. 哉
  5. clam
  6. bable
  7. 大宗
  8. 囫
  9. 合一
  10. 通行