Neuron Explorer

Qwen3-0.6B

'only' in 'the only'

A neuron in layer 4 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 reacts to the word 'only' when it comes right after 'the' or 'weren't the', as in 'the only person'. Turning it up made the model's writing repeat the word 'only' and similar phrasing, though the effect is loose.

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

    food diet is true to its name – most, if not all, foods need to be “raw”. This means dieters are prohibited from cooking food. The only allowed “cooking” is

  2. #2 peak

    of Valois, although Henry hired a professional poet to do the actual writing.⏎By the 1700s, kings and dukes weren’t the only ones dispensing valentines. Each February 14, handwritten ‘Val

  3. #3 peak

    connecting the satellite system to the backbone of land-based internet.⏎Reddit user andrew867 noted in his post that "Eastlink has direct access to the only viable dark fibre/wavelength service coming into the province from Nova Scotia. Zayo

  4. #4 peak

    the Bronze Age, to ancient Alexandria and the founding of the Silver Throne - in one night. And in that single night, John and Jack will find that the only way to save their friend and stop the chaos destroying the world is to solve a

  5. #5 peak

    Park?⏎The only person I know who has ever seen a snake in Central Park is the writer Roger

  6. #6 peak

    been a peculiar battle. Both sides feel strongly on the matter, but even in the most crucial moments, there has been little uncontained anger. Indeed, the only thing that has been expended at all recklessly in the long fight has been talk

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: for example, if I have a 100, and the number of elements is 10, then I have $ 10 \times 10 $. 1. 10 10 10

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

    her to the fence. Her head was held high, and she was blowing. I kept her there until she relaxed. I never did find out what was the matter. Maybe a deer? This is just one example of a horse spooking

  2. #2 peak

    . Gates then used a computer at the University of Washington to produce the traffic flow charts. (Paul Allen's father was a librarian at UW.) This was the beginning of Traf-O-Data.⏎The next step was to build a device to

  3. #3 peak

    they frequently used sunscreen, however, had 23% greater risk of multiple sunburns in the past year compared to people who said they seldom used the stuff.⏎Those who frequently sought shade and pulled on long sleeves, however, had about

  4. #4 peak

    | Volume 25, Issue 1⏎That was the end of the campaigning in 1776. Washington went into winter quarters and

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. L3:2168 excites
  2. L3:344 excites
  3. L3:122 weakly excites
  4. L2:205 weakly excites
  5. L2:1390 weakly suppresses
  6. L3:59 weakly excites
  7. L2:330 weakly excites
  8. L3:115 weakly suppresses
  9. L1:1674 weakly excites
  10. L3:800 weakly suppresses
  11. L3:2287 weakly excites
  12. L1:6 weakly excites
  13. L3:2890 weakly suppresses
  14. L2:3065 weakly excites
  15. L0:1734 weakly excites
  16. L3:2664 weakly excites
  17. L2:2715 weakly suppresses
  18. L0:71 weakly excites
  19. L1:1280 weakly suppresses
  20. L2:243 weakly suppresses
  21. L2:2149 weakly suppresses
  22. L2:2152 weakly suppresses
  23. L0:1640 weakly excites
  24. L2:2891 weakly excites

Feeds later layers

  1. L5:613 excites
  2. L11:2781 excites
  3. L10:568 excites
  4. L20:2485 excites
  5. L12:637 excites
  6. L14:2791 weakly excites
  7. L11:1216 weakly excites
  8. L7:2432 weakly excites
  9. L6:1209 weakly excites
  10. L5:1440 weakly excites
  11. L17:2967 weakly excites
  12. L5:1532 weakly excites
  13. L17:1975 weakly excites
  14. L6:2985 weakly excites
  15. L18:1951 weakly excites
  16. L16:1128 weakly excites
  17. L15:839 weakly suppresses
  18. L15:2568 weakly excites
  19. L7:2660 weakly excites
  20. L21:2442 weakly excites
  21. L8:432 weakly suppresses
  22. L15:2849 weakly excites
  23. L17:2069 weakly excites
  24. L6:625 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.

6 values between -0.74 and -0.5255 values between -0.52 and -0.29953 values between -0.29 and -0.062505 values between -0.06 and 0.17363 values between 0.17 and 0.3914 values between 0.39 and 0.625 values between 0.62 and 0.852 values between 0.85 and 1.071 values between 1.07 and 1.301 values between 1.53 and 1.751 values between 2.44 and 2.661 values between 6.75 and 6.971 values between 8.11 and 8.34offnegativepositiveoften

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. 最关键
  2. atl
  3. 最关键的
  4. 次要
  5. 都不是
  6. acon
  7. 最重要的
  8. 来找
  9. lé
  10. instance

Suppresses

  1. 族自治州
  2. нер
  3. velope
  4. rogram
  5. muş
  6. 热情
  7. clus
  8. alyzer
  9. utenberg
  10. ):⏎⏎