Neuron Explorer

Qwen3-0.6B

zeros inside large round numbers

A neuron in layer 25 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 fires on a zero in large round numbers like 10,000 or 3,000 people, where the zero is part of the number's size. Turning it down made the model write a long string of zeros, which matches what it responds to.

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

    0 years ago.⏎Food used to be obtained through hunting and gathering. The paleo diet restricts foods that became common when agriculture appeared about 10,000 years ago

  2. #2 peak

    scientific curriculum that included linguistics, arts and crafts, medicine, logic, and spirituality. People in India continue to practice two ancient systems developed over 2,000 years ago to maintain health: Ayurvedic medicine, described by the

  3. #3 peak

    ense with the stored collection of models and gave the Smithsonian Institution the opportunity to collect any models it wanted. Today, the Museum’s collection exceeds 10,000 patent

  4. #4 peak

    bitaceae family. Here are some Butternut Squash Health Benefits.⏎Squash is among the oldest known crops dating back 10,000 years to Mexico and America. The name squash, which means uncooked or

  5. #5 peak

    the Gas Giant Caligine. Before the Great Crusade, Caligine II was a bustling mining world that at its peak employed more than 3,000,000 people. This population lived in cramped conditions while reinforced

  6. #6 peak

    more than 400 varieties of biscuits and employed more than 5,000 people.⏎Huntley & Palmers employed the latest technology but their

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: 0.000000000000000000000000000000000000000000000

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

    ória [online]. 2006, vol.25, n.1, pp. 44-69. ISSN 1980-4369. http://dx.doi.org/10

  2. #2 peak

    , MA: WGBH Media Library & Archives. Retrieved from http://openvault.wgbh.org/catalog/V_4E4EE3EAD24043E2BC0B972CD24B1

  3. #3 peak

    5, it would imply the exit of 166.5 million individuals from poverty. In reality, the number of poor in 2004-05 turned out to be 302 million, implying that India had

  4. #4 peak

    VECE20|⏎When requesting a correction, please mention this item's handle: RePEc:taf:jeduce:v:42:y:2011:i:2:p

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. L22:1505 strongly excites
  2. L23:478 strongly excites
  3. L23:1295 strongly suppresses
  4. L23:2924 strongly suppresses
  5. L23:615 strongly excites
  6. L22:909 strongly excites
  7. L22:1095 strongly suppresses
  8. L23:2761 strongly excites
  9. L24:1676 strongly excites zeros in large round numbers
  10. L24:2703 strongly suppresses
  11. L23:2500 strongly suppresses
  12. L23:510 strongly suppresses
  13. L23:2222 strongly excites
  14. L24:2879 strongly suppresses
  15. L23:1243 strongly suppresses the spot right before a year's last digits
  16. L21:242 strongly suppresses 'very' before an adjective
  17. L24:2118 strongly excites
  18. L21:538 strongly suppresses
  19. L21:1228 suppresses
  20. L21:2233 excites
  21. L24:2274 excites zeros after a decimal point
  22. L23:997 suppresses
  23. L20:1479 excites
  24. L24:631 excites

Feeds later layers

  1. L26:413 strongly suppresses
  2. L27:153 strongly excites the spot just before a historical number
  3. L27:396 strongly suppresses
  4. L27:1153 strongly suppresses
  5. L27:862 strongly suppresses
  6. L26:137 excites
  7. L27:1202 suppresses
  8. L26:476 suppresses
  9. L27:1111 suppresses
  10. L27:1132 excites
  11. L26:172 suppresses
  12. L26:848 suppresses
  13. L26:793 excites
  14. L27:978 suppresses
  15. L27:448 excites
  16. L27:113 weakly excites
  17. L27:163 weakly excites
  18. L26:423 weakly excites
  19. L27:287 weakly suppresses
  20. L26:611 weakly suppresses
  21. L26:667 weakly suppresses
  22. L27:2172 weakly excites
  23. L27:992 weakly excites
  24. L27:132 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 -41.75 and -40.051 values between -22.99 and -21.281 values between -17.87 and -16.171 values between -16.17 and -14.461 values between -12.76 and -11.053 values between -11.05 and -9.352 values between -9.35 and -7.644 values between -7.64 and -5.945 values between -5.94 and -4.2313 values between -4.23 and -2.5229 values between -2.52 and -0.823641 values between -0.82 and 0.89188 values between 0.89 and 2.594 values between 2.59 and 4.304 values between 4.30 and 6.005 values between 6.00 and 7.712 values between 7.71 and 9.412 values between 11.12 and 12.831 values between 24.76 and 26.47offnegativepositiveoften

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. ope
  2. OTOR
  3. โต
  4. GetObject
  5. OTT
  6. [obj
  7. SCO
  8. ordination
  9. opes
  10. NSMutable

Suppresses

  1. 0
  2. 0
  3. ₀
  4. zero
  5. 零
  6. Zero
  7. -zero
  8. Zero
  9. _zero
  10. zeroes