Neuron Explorer

Qwen3-0.6B

'only' meaning just one or only if

A neuron in layer 20 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 the word 'only' when it means 'just one' or 'only if', as in 'training is only the first step'. Pushing it down made the model repeat 'does not' and 'doesn't', so it may also play a part in negation.

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

    the aptitude and the inclination should have the opportunity to receive entrepreneurial training and access to resources like low-interest loans to become self-employed.⏎Of course, training is only the first step. Once trained, they should be connected job opportunities. Life skill

  2. #2 peak

    opinions and contributions of other team members. However, while individuals with a high subjective sense of power tend to dominate team discussions, they may be able to do so only if other team members permit it. Most likely, team members will ‘accept’

  3. #3 peak

    a fact of life; companies that want to last need to make money to stay in operation and to meet their financial responsibilities to shareholders and employees. But profit is only one factor, as Thornton is the first to point out, and basing ethics

  4. #4 peak

    to individual learning space. Now what the hurdle here could be:⏎Reaching a wider audience effectively! : Because an instructor can handle a small mob at a time only. When every other student bombards him with questions and raises hand in every micro

  5. #5 peak

    be required to have a rest mass.⏎So how does all this fit in with the mystery of dark matter? Neutrinos are one candidate for dark matter but only if they have a nonzero rest mass. Neutrinos interact only via the weak

  6. #6 peak

    ’s depleted funds in order to aid several states still reeling in the wake of widespread flooding, wildfires, tornadoes and tropical storms. But cleanup and recovery is only one part of the disaster cycle. Fortunately, Congress is also focusing on preparedness

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: It doesn't do anything doesn't it does it doesn't it doesn't it doesn't it doesn't it doesn't it doesn't it doesn't it does it does it doesn't it doesn't it doesn't doesn't it doesn'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

    mention factors to consider, such as job market demand, salary ranges, long-range opportunities, skills required, etc. Just because an occupation is "hot" now does not mean it will be equally in demand in 10 years or that your

  2. #2 peak

    these products. The pressure options only provide the same amount of heat to the product as the boiling water processes. Just because pressure is used to decrease the process time, the canning process is not the same as one to destroy spores of Clo

  3. #3 peak

    is connected to the National Institute of Health, has some pretty amazing fact sheets that lay everything out in great detail. But just because supplements are safe in moderation doesn't mean that more is better. Combining

  4. #4 peak

    aryGuidelines/⏎Used with permission. ©2015 Walmart. All Rights Reserved.⏎Important Walmart Disclaimer: All content provided is for informational purposes only, and is not intended to substitute for the diagnosis, treatment, or advice of a medical

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. L14:2480 suppresses
  2. L13:2169 excites
  3. L17:762 excites
  4. L17:3018 suppresses
  5. L15:374 excites
  6. L14:2809 excites
  7. L19:2650 suppresses
  8. L16:2576 suppresses
  9. L18:2396 suppresses
  10. L16:2373 suppresses
  11. L14:1903 suppresses
  12. L15:58 suppresses
  13. L13:725 excites
  14. L16:2966 weakly suppresses
  15. L19:2324 weakly excites
  16. L15:2286 weakly suppresses
  17. L12:288 weakly suppresses
  18. L11:1697 weakly excites
  19. L15:2996 weakly excites
  20. L15:2747 weakly excites
  21. L13:587 weakly excites
  22. L18:2890 weakly suppresses
  23. L13:3049 weakly suppresses
  24. L10:2719 weakly suppresses

Feeds later layers

  1. L24:334 suppresses
  2. L26:406 suppresses
  3. L23:434 suppresses
  4. L21:1044 suppresses
  5. L27:860 suppresses
  6. L23:773 suppresses
  7. L23:1448 excites
  8. L25:2646 suppresses 'there' after a because or if clause
  9. L24:776 suppresses
  10. L22:539 suppresses
  11. L24:1330 suppresses
  12. L23:2104 weakly suppresses
  13. L26:2984 weakly suppresses
  14. L27:714 weakly suppresses
  15. L27:2800 weakly suppresses
  16. L21:1386 weakly excites
  17. L27:2346 weakly suppresses
  18. L21:791 weakly suppresses
  19. L23:1181 weakly suppresses
  20. L21:1839 weakly suppresses
  21. L26:781 weakly suppresses
  22. L21:1586 weakly suppresses
  23. L23:2566 weakly suppresses
  24. L23:1388 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 -12.98 and -12.171 values between -10.53 and -9.722 values between -8.08 and -7.271 values between -7.27 and -6.452 values between -4.82 and -4.003 values between -3.18 and -2.372 values between -2.37 and -1.5572 values between -1.55 and -0.732413 values between -0.73 and 0.081356 values between 0.08 and 0.9047 values between 0.90 and 1.724 values between 1.72 and 2.541 values between 2.54 and 3.352 values between 4.17 and 4.991 values between 18.87 and 19.69offnegativepositiveoften

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. so
  2. )*/⏎
  3. phis
  4. asil
  5. bastian
  6. 所以他
  7. acons
  8. metic
  9. ประสง
  10. ーシ

Suppresses

  1. 并不
  2. doesn
  3. 并不能
  4. does
  5. 並不
  6. does
  7. doesn
  8. doesnt
  9. 并未
  10. 并没有