Neuron Explorer

Qwen3-0.6B

'in' in 'take in' phrases

A neuron in layer 2 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 'in' when it follows 'take' or 'taking', as in 'take in fluids' or 'taking in the news'. Its negative side is weak and shows up on pieces of longer words. Turning it up did not produce a clear topic in the output.

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

    .⏎What’s more, taking in emotional news (whether positive or negative) from social media or playing online games can

  2. #2 peak

    flow are what keep a business going. What good are record revenues if you’re spending more money than you’re taking in?⏎Sidebar – My buddy Steve Chou owns a successful online wedding linens store

  3. #3 peak

    body can survive with only water but it isn’t a good idea. Not only is there an absence of taste it also means that your body has nothing to take in. Pregnancy Safe Digestive Enzym

  4. #4 peak

    may be unable to take in a sufficient amount of food and fluids. It can cause a weight loss of more

  5. #5 peak

    get started slimming down a healthy diet is with ingesting significantly less food items. Numerous research shows that the level of calories from fat that you take in immediately effects exactly how much unwanted fat retailers you retail store. Grows your levels

  6. #6 peak

    The Value of Everything: Making and Taking in the Global Economy by Mariana Mazzucato. Copyright © 20

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 need to take this to the end, I can't take it to the end. I have to take it to the end. I can't take it to the end. I can't take it to the end. I can

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

    , yes?)⏎It’s super easy to get started too.⏎Here’s a quick how-to:⏎- Get in a comfy position. You don’t need to pretzel it up, know lying down can lead to sleeping, but other than that,

  2. #2 peak

    - Peter (also called Simon Peter) established the first church in Antioch and is regarded as the founding pope of the Catholic church. Instrumental in

  3. #3 peak

    , which was located in Florence at that period. He ultimately rose to the rank of papal secretary. Pope Nicholas V employed him as a translator of Greek patristic and pagan authors; his retranslations from Aristotle became particularly influential. Trebiz

  4. #4 peak

    patristic texts?⏎1. Did Mary merit to be the Mother of God?⏎2

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. L1:1955 weakly excites
  2. L1:367 weakly suppresses
  3. L1:1960 weakly excites
  4. L1:2459 weakly excites
  5. L1:658 weakly excites
  6. L1:2646 weakly excites
  7. L1:189 weakly suppresses
  8. L0:1355 weakly excites
  9. L1:1481 weakly excites
  10. L0:48 weakly excites
  11. L1:87 weakly suppresses
  12. L1:908 weakly excites
  13. L1:1350 weakly excites
  14. L1:2922 weakly excites
  15. L1:514 weakly excites
  16. L1:1370 weakly excites
  17. L1:124 weakly suppresses
  18. L1:2801 weakly excites
  19. L0:1224 weakly suppresses
  20. L0:97 weakly excites
  21. L0:873 weakly suppresses
  22. L0:25 weakly excites
  23. L0:1038 weakly excites
  24. L1:1735 weakly excites

Feeds later layers

  1. L23:329 suppresses
  2. L3:2385 weakly excites
  3. L25:1474 weakly suppresses
  4. L23:2913 weakly suppresses
  5. L14:2064 weakly suppresses
  6. L4:1397 weakly suppresses
  7. L3:2929 weakly suppresses
  8. L26:2683 weakly suppresses
  9. L9:2775 weakly excites
  10. L9:1371 weakly excites
  11. L6:2545 weakly suppresses
  12. L19:890 weakly excites
  13. L17:2763 weakly suppresses
  14. L21:608 weakly suppresses
  15. L20:2539 weakly excites
  16. L23:1405 weakly suppresses
  17. L21:1736 weakly excites
  18. L16:921 weakly excites
  19. L23:754 weakly suppresses
  20. L22:2978 weakly suppresses
  21. L17:1302 weakly suppresses
  22. L13:2677 weakly excites
  23. L27:14 weakly suppresses
  24. L15:1983 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 -2.29 and -2.211 values between -1.89 and -1.811 values between -0.91 and -0.831 values between -0.51 and -0.432 values between -0.43 and -0.3523 values between -0.35 and -0.2671 values between -0.26 and -0.18268 values between -0.18 and -0.10861 values between -0.10 and -0.021700 values between -0.02 and 0.06695 values between 0.06 and 0.14204 values between 0.14 and 0.2264 values between 0.22 and 0.319 values between 0.31 and 0.393 values between 0.39 and 0.471 values between 0.47 and 0.552 values between 0.55 and 0.631 values between 0.87 and 0.95offnegativepositiveoften

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. .readline
  2. ingham
  3. 尽
  4. landers
  5. isible
  6. ly
  7. ent
  8. ASH
  9. ith
  10. k

Suppresses

  1. 台上
  2. xbc
  3. 该院
  4. instituted
  5. ailer
  6. instit
  7. Cubs
  8. oser
  9. ulan
  10. Aunt