Neuron Explorer

Qwen3-0.6B

'Well' starting a reply or answer

A neuron in layer 1 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 'Well' when it starts a sentence that answers a question, like a conversational reply. Turning it up made the model's writing drift into random topics, so the effect on style is unclear.

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

    leave the helmet at home? Well…it depends.⏎Should Snowboarders Wear Helmets?⏎It has been argued that

  2. #2 peak

    V. That’s 10% of the intended voltage!⏎So what are the traditional options? Well, the best one is to have a separate set of wires known as “sense

  3. #3 peak

    some old style logic that needs to be reviewed.⏎Why not just set the maximum length possible? Well…⏎A VARCHAR is subject to the character set it’s in, for UTF8

  4. #4 peak

    stuff on the pool floor? Well you might actually have an outbreak of mustard algae, also known as yellow algae.

  5. #5 peak

    you remember when you learned multiplication and discovered multiplication was a faster and shorter way to represent repeated addition? Well there is a faster and shorter way to represent repeated multiplication.⏎Fractions - Adding

  6. #6 peak

    , what about the link between a woman’s menstrual cycle and the lunar cycle? I mean, that’s why we’re all still reading this post, right?⏎Well, let’s start off with a bit of backstory: For generations, a woman

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 working on this project in the last week, and I need to take care of you, but I don't think I can do that. I need to take care of you, but I don't think I can do that

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

    10 0 10 why am I getting 10 0 20.I am confused can some one help me in this regard.thanks in advance. kamesh. here is the code from Marcus Mock exam

  2. #2 peak

    the most common types of tomatoes available. They can be meaty like a beefsteak, but always juicy.⏎Vesuvio Piennolo<|endoftext|>Thank you to DadsWorksheets.com for providing a VARIETY of math practice sheets

  3. #3 peak

    medical advice and should not take the place of a doctor’s visit. Please see the bottom of the page for more information or visit our Terms and Conditions.⏎Thanks for your feedback.⏎37 of 42 found this helpful<|endoftext|>Television was

  4. #4 peak

    Subject: Overt Markers on Mass Nouns⏎E-mail this message to a friend⏎Query for this summary posted in LINGUIST Issue:⏎Thanks for the many responses on the topic of count/mass marking on nouns.⏎The issue

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. L0:178 suppresses
  2. L0:1301 suppresses
  3. L0:1224 suppresses
  4. L0:2520 weakly suppresses
  5. L0:419 weakly suppresses
  6. L0:2789 weakly suppresses
  7. L0:30 weakly excites
  8. L0:1870 weakly excites
  9. L0:2085 weakly excites
  10. L0:1663 weakly suppresses
  11. L0:2203 weakly suppresses
  12. L0:2222 weakly excites
  13. L0:2433 weakly suppresses
  14. L0:31 weakly suppresses
  15. L0:2744 weakly excites
  16. L0:1436 weakly excites
  17. L0:2794 weakly suppresses
  18. L0:1266 weakly suppresses
  19. L0:2747 weakly suppresses
  20. L0:2004 weakly excites
  21. L0:447 weakly excites
  22. L0:268 weakly excites
  23. L0:1003 weakly suppresses
  24. L0:1869 weakly excites

Feeds later layers

  1. L8:2883 weakly excites
  2. L15:1602 weakly suppresses
  3. L13:668 weakly excites
  4. L27:1427 weakly excites
  5. L20:2835 weakly excites
  6. L14:2803 weakly suppresses
  7. L2:1688 weakly suppresses 'off of' and 'of' after 'off'
  8. L9:1925 weakly suppresses
  9. L4:1964 weakly excites
  10. L8:2227 weakly suppresses
  11. L8:2277 weakly suppresses
  12. L6:1530 weakly excites
  13. L15:2064 weakly suppresses
  14. L5:2543 weakly suppresses
  15. L17:1689 weakly excites
  16. L18:1944 weakly suppresses
  17. L15:1502 weakly excites
  18. L13:2075 weakly excites
  19. L14:2533 weakly suppresses
  20. L11:1191 weakly excites
  21. L9:520 weakly excites
  22. L22:2103 weakly excites
  23. L13:250 weakly suppresses
  24. L10:2315 weakly suppresses line break inside wrapped text

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 -2.59 and -2.521 values between -1.52 and -1.441 values between -1.06 and -0.981 values between -0.83 and -0.761 values between -0.76 and -0.681 values between -0.68 and -0.601 values between -0.53 and -0.451 values between -0.45 and -0.376 values between -0.37 and -0.3024 values between -0.30 and -0.22115 values between -0.22 and -0.14531 values between -0.14 and -0.071459 values between -0.07 and 0.011143 values between 0.01 and 0.09465 values between 0.09 and 0.16116 values between 0.16 and 0.2433 values between 0.24 and 0.325 values between 0.32 and 0.393 values between 0.39 and 0.47offnegativepositiveoften

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. lates
  2. iances
  3. trận
  4. "](
  5. тан
  6. ][_
  7. iors
  8. 暮ら
  9. iores
  10. STDOUT

Suppresses

  1. him
  2. fall
  3. ARRY
  4. 观点
  5. 6
  6. sem
  7. 观念
  8. consum
  9. server
  10. Mp