Neuron Explorer

Qwen3-0.6B

math and physics formulas

A neuron in layer 15 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 maths and physics writing, especially the symbols inside equations such as sin, cos, omega, and variables like x or Vm. It fires most strongly on those symbols. When turned up the model wrote on maths-style problems, and when turned down it moved to other topics, but the link is loose.

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

    x c x c h x L g x = = then ( ) lim x c f x exists and is equal to L. Three Special Limits 1. sin lim 1 x x x = 2. 1 cos lim x x

  2. #2 peak

    as follows:⏎① The angular velocity of the gear blank is ω 1 and ω 1, and the angular velocity of the gear blank is ω 1;⏎② The blade moves with the revolution of (q)

  3. #3 peak

    the energy effect is selective (varying through the spectrum). The distortions magnify the original factor 1 + d / to a factor that approaches 1 + 3d / . More precisely, the photographic magnitudes, to use the

  4. #4 peak

    component of current ( I RMS cos φ) which is in phase with the voltage is called active component. The power consumed by this current VRMS IRMS cos φ . So that it is also known as ‘Wattful’ current.⏎(ii

  5. #5 peak

    ,⏎- times the derivative of sine of 5x with respect to 5x, that's just going to be cosine of 5x.⏎- If we want to write this in differential form, which is useful when

  6. #6 peak

    40 N⏎What is the period of a point moving along a circular path of radius 5 cm at the linear speed of 200π cm / minutes?⏎A) 1<|endoftext|>Galactorrhea is a discharge

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: and the. for the, and. for the, and. for the, and. for the, and. for the, and. for the, and. for the, and. for 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

    instant and then it is averaged over a complete cycle.⏎The alternating voltage and alternating current in the series RLC circuit at an instant are given by⏎v=Vm sin ωt and i = I m sin( ω t + φ

  2. #2 peak

    both sides. Part A: Short Answer (1 problems, 12 points). 1. Let S and T be linear spaces and A : S T be a linear map. Say

  3. #3 peak

    structures of data that can aid learning.⏎- The $M$ features of user linguistic response can be saved within a user session as a time series of vectors $\sigma(m, n, t)$.⏎- Those series can be collected across $U

  4. #4 peak

    006 at five locations were analysed, three of which had been affected by DFTD during this time interval. Significant increases in inbreeding coefficient (𝑓) and non-significant reductions in effective population size were observed for both diseased

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. L14:2940 excites
  2. L9:280 suppresses
  3. L11:2127 suppresses
  4. L11:774 excites
  5. L12:1781 suppresses
  6. L12:1534 excites
  7. L8:2184 suppresses
  8. L11:1794 excites
  9. L13:1140 excites
  10. L8:925 weakly excites
  11. L14:2120 weakly suppresses
  12. L9:498 weakly excites
  13. L9:987 weakly suppresses
  14. L4:352 weakly excites
  15. L14:1972 weakly excites
  16. L4:249 weakly excites
  17. L14:1739 weakly excites
  18. L9:981 weakly excites
  19. L9:117 weakly excites
  20. L12:2490 weakly excites
  21. L13:1073 weakly excites
  22. L11:2532 weakly excites
  23. L14:2232 weakly suppresses
  24. L5:1117 weakly excites

Feeds later layers

  1. L16:825 suppresses
  2. L16:1280 suppresses
  3. L20:790 suppresses
  4. L16:807 suppresses
  5. L16:1331 suppresses
  6. L19:2038 suppresses
  7. L18:416 suppresses
  8. L21:470 suppresses
  9. L19:414 suppresses
  10. L17:688 suppresses
  11. L20:2657 suppresses
  12. L17:1547 suppresses
  13. L17:1007 suppresses
  14. L17:482 suppresses
  15. L21:362 weakly suppresses
  16. L18:1189 weakly suppresses
  17. L20:806 weakly suppresses
  18. L22:203 weakly suppresses
  19. L25:1230 weakly excites
  20. L18:1452 weakly excites
  21. L19:491 weakly suppresses
  22. L24:149 weakly suppresses
  23. L16:1328 weakly suppresses
  24. L19:1617 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 -3.39 and -3.271 values between -2.22 and -2.112 values between -1.76 and -1.641 values between -1.64 and -1.531 values between -1.41 and -1.291 values between -1.29 and -1.182 values between -1.18 and -1.062 values between -1.06 and -0.952 values between -0.83 and -0.711 values between -0.71 and -0.602 values between -0.60 and -0.485 values between -0.48 and -0.375 values between -0.37 and -0.2554 values between -0.25 and -0.13399 values between -0.13 and -0.021360 values between -0.02 and 0.101133 values between 0.10 and 0.22539 values between 0.22 and 0.33243 values between 0.33 and 0.4577 values between 0.45 and 0.5641 values between 0.56 and 0.6820 values between 0.68 and 0.809 values between 0.80 and 0.915 values between 0.91 and 1.031 values between 1.03 and 1.151 values between 1.15 and 1.26offnegativepositiveoften

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. 持有的
  2. 布莱
  3. 兵团
  4. eler
  5. يتها
  6. holding
  7. behind
  8. "](
  9. ...",
  10. olin

Suppresses

  1. depend
  2. ornado
  3. site
  4. filePath
  5. =User
  6. ượt
  7. себ
  8. DIAG
  9. dotenv
  10. stitutions