Neuron Explorer

Qwen3-0.6B

the word 'constant' in science and maths

A neuron in layer 4 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 lights up on the word 'constant' when it means a fixed value, like in physics or maths problems. Turning it up mostly made the writing drift into unrelated, repetitive text, so the steering did not show a clear link to this word.

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

    -shifts, 2 and which is applied as a matter of course to all measures of apparent luminosity used for the estimation of distances.⏎2 Since E = constant = h / c, the above statement assumes that the relation between Planck's

  2. #2 peak

    1)⏎When you differentiate the integral with variable upper limit it gives you the function being integrated.⏎Thus (because the lower limit doesn't play any role being a constant number)⏎dF(x)/dx2 = √(1 + t3

  3. #3 peak

    from P perpendicular to the sides of the triangle where A, B and C⏎are points on the sides. Prove that PA + PB + PC is a constant.⏎Can you decide whether two lines are perpendicular or not? Can you⏎do

  4. #4 peak

    fractional red-shift d / is constant throughout a given spectrum. Each wave-length is increased, and, consequently, the energy in each quantum is reduced, by the constant factor 1 + d / . We might naturally conclude that the total luminosity

  5. #5 peak

    (h*=h/2pi). a) Using its own inner impulse (h) circle - particle moves ( as a wheel) in a straight line with constant speed c = 1. We call such particle - ?photon?.

  6. #6 peak

    What is the centripetal force acting on a car of mass 2000 Kg turning around a circular bend of radius 50 meters at the constant speed of 36 km/hr?⏎A) 4,000

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: (click) the same as the other the same I am the same as the same I am the same as the same I am the same as the same I am the same as the same I am the same

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

    if the electricity is imagined as water, the voltage corresponds to the water pressure, in simple terms, it is the power of electricity. Here, we will not only introduce to you where you’ll find volts in your daily life, but also list

  2. #2 peak

    fruit juices, alcohol and other highly processed drinks.⏎- Eliminate omega-6-rich vegetable oils from your diet, and use cold-pressed, extra-virgin olive oil instead.⏎- Emphasize omega-3 fats, found

  3. #3 peak

    you must understand and apply some crucial National Electrical Code rules and regulation. Following these rules to the letter will not only assure you that your work will pass inspection, but that it will be a safe

  4. #4 peak

    to rely on the price point of these cards to be the best indication of performance level. .⏎When you see a memory amount associated with a video card, this quantity has a specific benefit, even if it is different than most people believe. The

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. L2:2635 excites
  2. L0:178 weakly suppresses
  3. L0:1224 weakly suppresses
  4. L0:1301 weakly suppresses
  5. L2:111 weakly suppresses
  6. L2:75 weakly suppresses
  7. L3:187 weakly excites
  8. L3:855 weakly excites
  9. L2:2382 weakly excites
  10. L0:3027 weakly suppresses
  11. L2:1657 weakly excites
  12. L3:1472 weakly excites
  13. L3:272 weakly excites
  14. L3:2060 weakly excites
  15. L3:165 weakly suppresses
  16. L2:493 weakly suppresses
  17. L3:464 weakly excites
  18. L3:122 weakly excites
  19. L3:50 weakly excites
  20. L3:186 weakly suppresses
  21. L2:497 weakly excites
  22. L2:1964 weakly suppresses
  23. L2:3001 weakly suppresses
  24. L3:2107 weakly suppresses

Feeds later layers

  1. L8:1461 excites
  2. L12:1645 weakly excites
  3. L9:660 weakly excites
  4. L7:756 weakly excites
  5. L8:954 weakly excites vitamin D mentions
  6. L11:1828 weakly excites
  7. L12:1911 weakly excites
  8. L11:1430 weakly excites
  9. L11:2291 weakly excites numbers inside citation references
  10. L15:2056 weakly excites
  11. L15:2029 weakly excites
  12. L22:1841 weakly excites
  13. L5:1084 weakly suppresses
  14. L16:1676 weakly excites
  15. L11:1534 weakly excites
  16. L21:885 weakly excites
  17. L17:1162 weakly excites
  18. L11:1733 weakly suppresses
  19. L13:2031 weakly suppresses
  20. L17:2448 weakly excites
  21. L13:2737 weakly excites
  22. L27:1646 weakly excites
  23. L10:2666 weakly excites
  24. L17:1758 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 -1.321 values between -0.57 and -0.521 values between -0.52 and -0.472 values between -0.47 and -0.424 values between -0.42 and -0.3712 values between -0.37 and -0.3217 values between -0.32 and -0.2735 values between -0.27 and -0.2255 values between -0.22 and -0.17165 values between -0.17 and -0.12406 values between -0.12 and -0.07826 values between -0.07 and -0.021162 values between -0.02 and 0.03683 values between 0.03 and 0.08293 values between 0.08 and 0.13132 values between 0.13 and 0.1861 values between 0.18 and 0.2321 values between 0.23 and 0.2817 values between 0.28 and 0.337 values between 0.33 and 0.384 values between 0.38 and 0.431 values between 0.43 and 0.481 values between 0.53 and 0.581 values between 0.58 and 0.63offnegativepositiveoften

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. gist
  2. ϊ
  3. .timedelta
  4. phon
  5. orable
  6. 可想
  7. alike
  8. Severity
  9. 级别
  10. fierc

Suppresses

  1. ön
  2. ฝ
  3. 答题
  4. BP
  5. submission
  6. cor
  7. aturing
  8. AP
  9. ADATA
  10. arra