Neuron Explorer

Qwen3-0.6B

unclear: calculus notation, mixed topics

A neuron in layer 5 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 is mixed. It fires a little on calculus notation, such as derivatives of F(x), and on some unrelated phrases like solid oxide fuel cells. It is strongest in the negative direction on the 2 in a derivative, but the pattern is not clear and steering showed nothing consistent.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

    in a circle⏎(C) 2009 Copyright Math Open Reference. All rights reserved<|endoftext|>Use chain rule⏎F'(x) = dF(x)/dx = (dF(x)/dx2)(dx2/dx

  2. #2 peak

    recycling. PNNL's system includes fuel cell stacks developed earlier with the support of DOE's Solid State Energy Conversion Alliance.⏎"Solid oxide fuels cells are a promising technology for providing clean, efficient energy. But, until

  3. #3 peak

    are somewhat disparate. The process is illustrated using a single, simple differential equation:⏎Integrate this equation from t = 0 to t = 1. The exact solution can be found by quadrature and is⏎To use MATLAB we first construct

  4. #4 peak

    alveolus. The alveoli are tiny air sacs within the lungs where the exchange of oxygen and carbon dioxide takes place.⏎Last Editorial Review: 6/14/2012⏎Back to Med

  5. #5 peak

    be powered with a new, small-scale solid oxide fuel cell system that achieves up to 57 percent efficiency, significantly higher than

  6. #6 peak

    most protection against life-threatening conditions, such as cancer and heart disease? Next best is salad, then fruit.⏎Remember that if you have a health insurance or life

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: $ f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t

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

    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) where t = x2 (2

  2. #2 peak

    ,⏎- times the derivative of sine of 5x with respect to 5x, that's just going to be cosine of 5x.⏎

  3. #3 peak

    So du could be equal to -- so du/dx (derivative of u with respect to x),⏎- well we just use the chain rule. Derivative of 5x is 5

  4. #4 peak

    his data during the 1769 transit of Venus, he was not exonerateed until a century later when the renowned American astronomer Simon Newcomb found Hell's readings to be correct, his scholarship above suspicion and his accusers

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. L4:1803 weakly suppresses
  2. L3:1303 weakly excites
  3. L3:1083 weakly suppresses
  4. L3:2280 weakly suppresses
  5. L2:1710 weakly suppresses
  6. L3:105 weakly excites
  7. L2:2779 weakly suppresses
  8. L2:2161 weakly excites
  9. L2:1003 weakly excites
  10. L4:2930 weakly suppresses
  11. L1:300 weakly excites
  12. L1:1246 weakly suppresses "word" after a language origin phrase
  13. L0:178 weakly suppresses
  14. L4:1873 weakly excites
  15. L0:1224 weakly suppresses
  16. L4:2871 weakly excites
  17. L1:2759 weakly suppresses
  18. L3:2861 weakly excites
  19. L4:12 weakly suppresses
  20. L4:1488 weakly excites
  21. L0:1301 weakly suppresses
  22. L0:188 weakly excites
  23. L3:1921 weakly suppresses
  24. L1:967 weakly suppresses equals sign in code assignments

Feeds later layers

  1. L26:1051 suppresses
  2. L12:968 weakly suppresses 'of' after geographic nouns
  3. L16:475 weakly suppresses
  4. L6:98 weakly excites
  5. L8:2289 weakly excites
  6. L8:2393 weakly suppresses
  7. L20:2912 weakly suppresses
  8. L7:2767 weakly suppresses
  9. L16:330 weakly suppresses
  10. L8:2357 weakly suppresses
  11. L22:2927 weakly suppresses
  12. L19:971 weakly suppresses
  13. L22:2709 weakly suppresses
  14. L10:1829 weakly excites
  15. L22:581 weakly excites
  16. L9:116 weakly excites
  17. L23:450 weakly excites unclear: raccoon name fragments
  18. L14:2753 weakly excites
  19. L18:1161 weakly excites
  20. L16:2899 weakly excites
  21. L12:1503 weakly suppresses
  22. L10:1225 weakly excites
  23. L23:2557 weakly suppresses
  24. L14:680 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 -0.72 and -0.681 values between -0.54 and -0.501 values between -0.50 and -0.464 values between -0.43 and -0.393 values between -0.39 and -0.3612 values between -0.36 and -0.3225 values between -0.32 and -0.2830 values between -0.28 and -0.2557 values between -0.25 and -0.2180 values between -0.21 and -0.18153 values between -0.18 and -0.14235 values between -0.14 and -0.10340 values between -0.10 and -0.07474 values between -0.07 and -0.03648 values between -0.03 and 0.00633 values between 0.00 and 0.04412 values between 0.04 and 0.08288 values between 0.08 and 0.11200 values between 0.11 and 0.15105 values between 0.15 and 0.1887 values between 0.18 and 0.2246 values between 0.22 and 0.2631 values between 0.26 and 0.2910 values between 0.29 and 0.3312 values between 0.33 and 0.367 values between 0.36 and 0.405 values between 0.40 and 0.444 values between 0.44 and 0.472 values between 0.47 and 0.511 values between 0.51 and 0.541 values between 0.69 and 0.72offnegativepositiveoften

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. 嫁
  2. 嫁给
  3. pen
  4. ose
  5. union
  6. sürü
  7. fuse
  8. choose
  9. ase
  10. sexual

Suppresses

  1. 分彩
  2. uncan
  3. lastIndex
  4. academics
  5. iland
  6. ivre
  7. testCase
  8. JFactory
  9. BarController
  10. FixedUpdate