Neuron Explorer

Qwen3-0.6B

the digit 9 at a fragment start

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 strongly on the number 9 when it is the first character of a passage, cut off from its earlier context. Turning it up made the model's writing repetitive and unfocused.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

    9 testing relying on micro/nano technology.⏎- Micro/nano technologies for drug analysis

  2. #2 peak

    932. The hotel was used as a seminary for the Society of Jesus

  3. #3 peak

    9 January 1875 to Lizzie Mark and her husband, Henry Benjamin

  4. #4 peak

    92 she passed the university junior scholarship examination.⏎In 1893 Eth

  5. #5 peak

    9-0.965). Children were more vulnerable to rotavirus (p

  6. #6 peak

    990 to 2002. It was the first effigy to

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:II---了解一下----了解一下IIII.IIII.IIII.IIII.IIII.IIIIII IIIIII,IIIIII)IIIIIIIIIII.IIIIIIII)的IIIIIIII

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

    densities than those in more natural habitats (Blair 1996). The

  2. #2 peak

    9<|endoftext|>Virtual Kid Quest Guide for an Outdoor Art Quest⏎In celebration of Earth Day,

  3. #3 peak

    with Ecana assisting in the funding of the project). Siftek is set to

  4. #4 peak

    protects against both.⏎UPF & SPF – What’s the Difference?⏎- UP

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. L0:1224 suppresses
  2. L0:178 suppresses
  3. L0:1301 suppresses
  4. L0:2440 suppresses
  5. L0:2844 excites
  6. L0:2293 excites
  7. L0:1947 suppresses
  8. L0:2242 excites
  9. L0:2582 suppresses
  10. L0:2672 excites
  11. L0:2972 excites
  12. L0:2877 suppresses
  13. L0:1838 suppresses
  14. L0:2415 suppresses
  15. L0:2583 suppresses
  16. L0:1780 suppresses
  17. L0:1626 suppresses
  18. L0:2918 suppresses
  19. L0:552 excites
  20. L0:2679 excites
  21. L0:2639 excites unclear: weak hits on 'holiday' and 'playing', negative on 'Ada-fruit'
  22. L0:2785 weakly suppresses
  23. L0:1607 weakly suppresses
  24. L0:2857 weakly suppresses

Feeds later layers

  1. L2:128 strongly excites
  2. L2:646 excites
  3. L2:55 excites
  4. L2:46 excites
  5. L2:1489 excites
  6. L2:666 excites
  7. L2:321 excites
  8. L2:77 excites
  9. L2:1882 excites
  10. L17:70 suppresses
  11. L27:2601 weakly suppresses
  12. L15:2880 weakly suppresses
  13. L27:477 weakly excites
  14. L7:1383 weakly excites
  15. L27:406 weakly excites
  16. L27:965 weakly excites
  17. L25:198 weakly excites
  18. L26:2039 weakly excites
  19. L3:2419 weakly suppresses
  20. L26:388 weakly excites
  21. L26:17 weakly suppresses
  22. L17:1082 weakly suppresses
  23. L26:952 weakly suppresses
  24. L24:2729 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.

14 values between -0.45 and -0.3149 values between -0.31 and -0.17652 values between -0.17 and -0.032886 values between -0.03 and 0.11270 values between 0.11 and 0.2517 values between 0.25 and 0.391 values between 0.39 and 0.531 values between 0.53 and 0.674 values between 0.67 and 0.811 values between 0.81 and 0.951 values between 0.95 and 1.091 values between 1.09 and 1.232 values between 1.52 and 1.662 values between 1.66 and 1.801 values between 1.94 and 2.081 values between 2.08 and 2.221 values between 2.78 and 2.921 values between 3.06 and 3.201 values between 3.48 and 3.621 values between 3.90 and 4.041 values between 5.03 and 5.17offnegativepositiveoften

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. cords
  2. 各县
  3. 之夜
  4. criptor
  5. че
  6. directories
  7. же
  8. 万个
  9. 万公里
  10. sheets

Suppresses

  1. 在
  2. pan
  3. mer
  4. 1
  5. 休
  6. ery
  7. et
  8. eros
  9. to
  10. 、