Neuron Explorer

Qwen3-0.6B

"and" inside fixed institution names

A neuron in layer 19 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 "and" in set phrases like "National Oceanic and Atmospheric Administration" or "National Institute of Allergy and Infectious Diseases", where the next word is almost certain. When it was turned up, the model's writing did not visibly change in any 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

    by the US National Oceanic and Atmospheric Administration (NOAA) (NOAA, 2020).

  2. #2 peak

    - Ensure that your animals’ needs for water and shade are met.⏎What should I do during a heat wave?⏎- Listen to a NOAA (National Oceanic and Atmospheric Administration) Weather Radio for critical updates from the National Weather Service (NWS

  3. #3 peak

    made it possible to grow marine finfish in the open ocean sustainably according to a new report released by the National Oceanic and Atmospheric Administration (NOAA).⏎Specific types of fish farming can be done with minimal

  4. #4 peak

    Thomas and the U. S. Virgin Islands. Numerous reef animals are being protected from pollution and harvest for aquarium sale. (Department of Commerce and National Oceanic and Atmospheric Administration, 1999; Department

  5. #5 peak

    to give early warnings of events. As part of this, we are working in collaboration with the US’s National Oceanic and Atmospheric Administration (NOAA) to develop<|endoftext|>The formation of counties was one of

  6. #6 peak

    some in the Bay Area are getting more housing. Two marine sanctuaries off the coast of Northern California will more than double in size, the National Oceanic and Atmospheric Administration has ruled.⏎Florida might not like to talk about climate change, but

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 want to be the best in the most of the most of the most of the most of the most of the most of the most of the most of the most of the best in the most of the most of the most of the most

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

    cardinal numbers and the numerators. First the cardinal numbers. That is 2 + 3 = 5. And then the numerators. 1 + 1 = 2. We then get the answer 524 Can we

  2. #2 peak

    . Regulator models vary if steam pressure at regulator is less than or equal to 15 PSIG or greater than 15 PSIG but less than or equal to 125 PSIG.⏎- Regulator Size not applicable.

  3. #3 peak

    Robert E. Stevens, GENESIS II (The Second Beginning) E-Mail: firstname.lastname@example.org⏎I am not talking about truth in that 1 + 1 = 2, but

  4. #4 peak

    noise, altitude, navigation, and maneuverability readings. Then you hard-wire the devices into place, and send the Test Pilot into the clouds. When he or she returns, you collect and analyze the information gathered by the instruments you designed.

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. L16:1573 excites
  2. L17:1710 suppresses
  3. L18:1625 excites
  4. L17:1587 excites
  5. L15:1180 excites
  6. L18:846 suppresses
  7. L16:2983 weakly excites
  8. L18:1283 weakly suppresses
  9. L18:1723 weakly excites
  10. L18:836 weakly excites
  11. L14:1223 weakly suppresses
  12. L15:1395 weakly suppresses
  13. L10:2713 weakly excites
  14. L17:870 weakly suppresses
  15. L18:139 weakly suppresses
  16. L8:670 weakly suppresses
  17. L11:894 weakly excites
  18. L16:512 weakly suppresses
  19. L16:862 weakly suppresses
  20. L14:915 weakly suppresses
  21. L18:1116 weakly suppresses
  22. L17:1992 weakly suppresses
  23. L15:2328 weakly excites
  24. L18:1373 weakly excites

Feeds later layers

  1. L21:569 excites
  2. L22:975 excites
  3. L27:429 excites
  4. L27:2625 excites
  5. L26:1656 excites
  6. L22:300 suppresses
  7. L22:423 suppresses
  8. L26:136 weakly excites
  9. L27:2994 weakly excites
  10. L21:561 weakly suppresses
  11. L23:2197 weakly suppresses
  12. L20:600 weakly suppresses
  13. L22:1434 weakly excites
  14. L26:875 weakly suppresses
  15. L26:2730 weakly suppresses
  16. L26:2530 weakly excites
  17. L21:803 weakly suppresses
  18. L25:2754 weakly excites
  19. L20:287 weakly excites
  20. L21:702 weakly excites
  21. L22:1882 weakly suppresses
  22. L20:2115 weakly suppresses
  23. L20:62 weakly excites
  24. L20:314 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.

2 values between -3.11 and -2.893 values between -2.89 and -2.672 values between -2.67 and -2.451 values between -2.45 and -2.231 values between -2.23 and -2.013 values between -2.01 and -1.794 values between -1.79 and -1.574 values between -1.57 and -1.353 values between -1.35 and -1.1312 values between -1.13 and -0.9144 values between -0.91 and -0.69144 values between -0.69 and -0.47412 values between -0.47 and -0.251114 values between -0.25 and -0.031528 values between -0.03 and 0.19415 values between 0.19 and 0.41118 values between 0.41 and 0.6345 values between 0.63 and 0.8521 values between 0.85 and 1.078 values between 1.07 and 1.296 values between 1.29 and 1.513 values between 1.51 and 1.734 values between 1.73 and 1.955 values between 1.95 and 2.171 values between 2.17 and 2.391 values between 2.83 and 3.051 values between 3.05 and 3.271 values between 3.49 and 3.711 values between 3.71 and 3.931 values between 5.48 and 5.70offnegativepositiveoften

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. sume
  2. .sendKeys
  3. =sum
  4. カー
  5. umi
  6. unità
  7. (sum
  8. โซ
  9. @
  10. sum

Suppresses

  1. odor
  2. ories
  3. itious
  4. incumbent
  5. fur
  6. 很深
  7. Nacht
  8. ильно
  9. orious
  10. اهل