Neuron Explorer

Qwen3-0.6B

the '2' in CO2

A neuron in layer 0 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 reacts to the number 2 in 'CO2', the chemical symbol for carbon dioxide, mostly in texts about climate and fuels. Turning it up did not visibly change the model's writing in a clear way.

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

    transfer hydrogenation chemistry and electrochemical reduction of CO2 – to develop new approaches to CO2 activation and electrochemical hydrogenation at low

  2. #2 peak

    decade in chemistry will be used to discover new classes of energy-efficient electrohydrogenation catalysts. Research will focus on three areas– chemical hydrogenation of CO2,

  3. #3 peak

    climate change, the electric power industry’s emissions of carbon dioxide, CO2, have risen 5.9 percent since 2002 and

  4. #4 peak

    and releases carbon dioxide.⏎The rate of respiration decreases with temperature.⏎Photoinhibition means the decrease in photosynthesis due to⏎exposure to excess of CO2.⏎exposure to shortage of soil moisture.⏎exposure to high temperature.⏎ex

  5. #5 peak

    to drive the chemical reaction between a molecule and hydrogen.⏎The goal of this project is to develop technologies that use electricity from renewable sources to (1) convert CO2 into carbon-neutral fuels, such as methanol, or (2) transform biomass

  6. #6 peak

    relies a lot on nuclear power: 289 g of CO2 equivalent per kWh of electricity for Germany versus just 44 g for France.

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 been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately

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

    Savannah, Georgia after Jacob encountered financial difficulties. It is not known how much formal schooling Phoebe had, but she was clearly well read and worldly. In 18

  2. #2 peak

    716"⏎Mercury oxide battery⏎List of books: Mercury<|endoftext|>August 18, 1823, is the birthdate of Phoebe Yates Levy Pember, the Charleston, South Carolina-born Jewish nurse and administrator

  3. #3 peak

    ati:⏎Next, the goddess created the seven planetary powers, setting a Titaness and a Titan over each. Theia and Hyperion for the Sun; Phoebe and Atlas for the Moon; Dione and Crius for the planet Mars

  4. #4 peak

    , lamp technology more or less stayed static, and no wonder. Experimenting with oil and fire tended to lead to explosions or fires. The betty or phoebe lamps used by American colonists were similar to the lamps used in biblical times

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

None: this is the first layer.

Feeds later layers

  1. L11:1121 weakly suppresses
  2. L25:1036 weakly excites
  3. L16:1241 weakly suppresses
  4. L12:1073 weakly excites
  5. L19:2845 weakly suppresses
  6. L15:221 weakly suppresses
  7. L4:1755 weakly excites
  8. L8:115 weakly excites
  9. L2:1239 weakly suppresses
  10. L18:431 weakly suppresses
  11. L8:222 weakly suppresses
  12. L10:839 weakly excites
  13. L14:150 weakly suppresses
  14. L2:401 weakly excites
  15. L1:1851 weakly suppresses
  16. L14:2786 weakly excites
  17. L25:1734 weakly excites
  18. L15:133 weakly suppresses
  19. L9:2176 weakly excites
  20. L13:2910 weakly excites
  21. L10:277 weakly suppresses
  22. L23:860 weakly excites
  23. L23:1914 weakly suppresses "the" after time-period prepositions
  24. L22:1189 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 -0.41 and -0.391 values between -0.39 and -0.371 values between -0.37 and -0.344 values between -0.34 and -0.327 values between -0.32 and -0.293 values between -0.29 and -0.272 values between -0.27 and -0.259 values between -0.25 and -0.227 values between -0.22 and -0.2013 values between -0.20 and -0.1821 values between -0.18 and -0.1531 values between -0.15 and -0.1357 values between -0.13 and -0.1188 values between -0.11 and -0.08157 values between -0.08 and -0.06318 values between -0.06 and -0.03564 values between -0.03 and -0.01986 values between -0.01 and 0.01672 values between 0.01 and 0.04380 values between 0.04 and 0.06218 values between 0.06 and 0.08157 values between 0.08 and 0.1187 values between 0.11 and 0.1369 values between 0.13 and 0.1628 values between 0.16 and 0.1811 values between 0.18 and 0.204 values between 0.20 and 0.234 values between 0.23 and 0.253 values between 0.25 and 0.272 values between 0.27 and 0.301 values between 0.32 and 0.341 values between 0.42 and 0.441 values between 0.51 and 0.53offnegativepositiveoften

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. wre
  2. urga
  3. barg
  4. dem
  5. rece
  6. urge
  7. medicine
  8. revers
  9. zá
  10. ACES

Suppresses

  1. .fx
  2. 个人观点
  3. otch
  4. вин
  5. ipheral
  6. opic
  7. ync
  8. шин
  9. inyin
  10. 小心