Neuron Explorer

Qwen3-0.6B

'for' after study resource nouns

A neuron in layer 10 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 responds to the word 'for' when it introduces who something is meant for, like 'Notes for the students' or 'solutions for Class 10'. Its negative side picks up words after verbs of purpose, such as 'make' or 'achieve'. Turning it up did not produce a clear theme in the written text.

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

    ⏎7 letter words⏎6 letter words⏎5 letter words⏎4 letter words⏎3 letter words⏎2 letter words⏎Images for ZEATINSLoading...⏎SCRABBLE is the registered trademark of Hasbro

  2. #2 peak

    & Grow: all you need to know to get those veg plants off to a roaring start!⏎1. WHAT should I grow

  3. #3 peak

    Exercise 6.5⏎In NCERT Solutions for Class 10 Maths Chapter 6 Exercise 6.5, we have

  4. #4 peak

    Board Class 10 Science Chapter 4 Environmental management questions answers. Our expert team have gone through this chapter and prepared Notes for the students who are facing difficulties in summarizing of this chapter. We assure you

  5. #5 peak

    abstract concepts, such as friendship, or concrete concepts, such as the food chain.⏎Common Core Standards⏎This resource has been aligned to the Common Core State Standards for states in which they have been adopted. If a state does not appear in the

  6. #6 peak

    here. There are several questions in this exercise. Our subject expert teachers have solved each of these questions in a step by step manner. All these solutions are beneficial for the students of class 10 appearing for the board exams. Students can easily

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 be able to get the right answer for the question of the day's example... I need to be able to get the right answer for the question of the day's example... I need to be able to get the right answer

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

    of the Planet is presented with support provided by the National Science Foundation. I’m Jim Metzner.⏎Around the world, mangroves are being destroyed to make room

  2. #2 peak

    because of His needs. He did it illustrate the importance of Christ’s blood to man’s limited human understanding. It also revealed the immense sacrifice He would make for us.⏎Old Testament man had only one hope beyond the grave; this was God

  3. #3 peak

    10, in the 100 metropolitan areas with the largest African American populations, 62.5 percent of blacks would have had to move to achieve full black–white integration.⏎- Unemployment rates for African Americans have been far

  4. #4 peak

    , and professors were lenient when students turned in papers late, because everyone was piecing together so many jobs to get by. “We learned the value of hard work,” the former senior class president

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. L9:1890 excites
  2. L6:2000 suppresses
  3. L7:1584 suppresses
  4. L9:583 suppresses
  5. L5:1890 excites
  6. L4:1020 suppresses
  7. L6:1551 suppresses
  8. L6:2120 suppresses
  9. L6:2738 weakly suppresses
  10. L7:989 weakly suppresses
  11. L9:2500 weakly suppresses
  12. L3:2433 weakly suppresses
  13. L7:928 weakly excites
  14. L6:2897 weakly suppresses
  15. L7:530 weakly suppresses
  16. L3:427 weakly excites
  17. L6:2880 weakly excites
  18. L4:1460 weakly suppresses
  19. L1:2346 weakly suppresses
  20. L9:817 weakly suppresses
  21. L5:801 weakly suppresses
  22. L5:2464 weakly suppresses
  23. L9:796 weakly suppresses
  24. L7:957 weakly suppresses

Feeds later layers

  1. L12:2151 excites
  2. L17:2856 suppresses
  3. L13:775 suppresses
  4. L14:2626 suppresses
  5. L12:2548 suppresses
  6. L14:2549 suppresses
  7. L12:2436 excites
  8. L12:2850 suppresses
  9. L12:2212 weakly suppresses 'to' or 'for' opening a purpose phrase
  10. L12:2685 weakly suppresses
  11. L14:785 weakly suppresses
  12. L12:2793 weakly suppresses
  13. L15:708 weakly suppresses
  14. L12:2669 weakly suppresses
  15. L15:1139 weakly suppresses
  16. L11:2117 weakly suppresses
  17. L21:2392 weakly excites
  18. L12:2402 weakly suppresses
  19. L20:1623 weakly suppresses
  20. L18:658 weakly suppresses
  21. L14:289 weakly suppresses
  22. L15:513 weakly suppresses
  23. L15:582 weakly excites
  24. L13:1375 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 -4.13 and -4.001 values between -3.37 and -3.241 values between -3.11 and -2.991 values between -2.86 and -2.731 values between -2.48 and -2.351 values between -2.35 and -2.235 values between -1.85 and -1.722 values between -1.72 and -1.601 values between -1.47 and -1.342 values between -1.34 and -1.227 values between -1.09 and -0.963 values between -0.96 and -0.844 values between -0.84 and -0.7110 values between -0.71 and -0.5817 values between -0.58 and -0.4646 values between -0.46 and -0.33162 values between -0.33 and -0.20564 values between -0.20 and -0.081435 values between -0.08 and 0.051055 values between 0.05 and 0.18452 values between 0.18 and 0.30112 values between 0.30 and 0.4320 values between 0.43 and 0.563 values between 0.56 and 0.682 values between 0.81 and 0.94offnegativepositiveoften

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. 直升
  2. olland
  3. hiro
  4. ishes
  5. ewis
  6. 萋
  7. isers
  8. 翅
  9. ogh
  10. NCY

Suppresses

  1. 的背后
  2. prevailing
  3. 掩
  4. 追求
  5. strument
  6. running
  7. ( ⏎
  8. .getLogger
  9. 达成
  10. 回答