Neuron Explorer

Qwen3-0.6B

word fragments inside longer words

A neuron in layer 2 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron fires on a piece of a longer word that has been split apart, like the middle of 'Ajzen', 'irrevocable' or 'ISRO'. Turning it up made the model's writing drift into repetitive loops, so the effect is hard to read.

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

    975) Theory of Reasoned Action (TRA) and Ajzens (Ajzen 1985) extended Theory of Planned Behavior (TP

  2. #2 peak

    round⏎- A photo of someone you love⏎- Something you love to play with<|endoftext|>The report’s focus is on perceptions of changes among pastoralists and agropastoralists in Borana, Ethiopia and Gao and Mopti,

  3. #3 peak

    It can be at any time and for any reason. However, if the trust is an irrevocable living trust the Settlor does not have the authority to terminate the

  4. #4 peak

    concern when considering the changing demographics.⏎The intention to perform a behavior is the most important factor to actually engaging in future behavior, according to Fishbein and Ajzens (Fishbein & Ajzen 1

  5. #5 peak

    6 satellite into orbit to process information on climate, soil, seas and crop location.⏎The Spot 6 satellite is currently situated at Indian Space Research Organization (ISRO) facilities awaiting its scheduled launch in September.⏎Mexico also will have information delivered from

  6. #6 peak

    in the pipeline, even if much of the energy they produce is destined for export.⏎On past trends, deforestation and soil erosion will follow, along with irrevocable changes to the course and character of untamed rivers, a quarter of

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 thinking about the same as I have been thinking about... I have been thinking about... I have been thinking about... I have been thinking about... I have been thinking about... I have been thinking about... I have been thinking

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

    be chromatically opposite, a very basic 3D stereoscopic effect is created.⏎Passive Technology (aka Polarised)⏎If you’ve been to an IMAX 3D cinema, then this is the technology you would have witnessed. It

  2. #2 peak

    , which is life as usual for a Python programmer.⏎if not server_response['successful']:⏎etag = server_response['file_handle'].info().getheader('ETag')⏎xml_document = server_response['xml_document']<|endoftext|>Deepak Vashish

  3. #3 peak

    ureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Demographics of Gulf War-era II veterans at https://www.bls.gov/opub/ted/2010/ted_201008

  4. #4 peak

    artificial shapes, as is, unfortunately, too often the case.⏎C. PURPUREUS.—Purple Broom. Austria, 1792. Alow, spreading shrub, with long wiry shoots, clothed with neat trif

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. L0:503 excites
  2. L0:614 weakly excites
  3. L1:126 weakly excites
  4. L1:1418 weakly suppresses
  5. L0:374 weakly suppresses
  6. L1:1593 weakly suppresses
  7. L1:384 weakly excites
  8. L1:1769 weakly excites
  9. L0:1369 weakly suppresses
  10. L0:63 weakly suppresses
  11. L0:250 weakly suppresses
  12. L1:2648 weakly excites
  13. L1:1855 weakly suppresses
  14. L0:978 weakly excites
  15. L0:545 weakly excites
  16. L0:1850 weakly excites
  17. L0:2305 weakly excites
  18. L1:728 weakly excites
  19. L1:2068 weakly suppresses
  20. L0:2770 weakly suppresses
  21. L0:1084 weakly excites "the" at the start of a fragment
  22. L1:1055 weakly excites
  23. L1:2094 weakly suppresses
  24. L0:112 weakly suppresses

Feeds later layers

  1. L7:991 suppresses
  2. L7:1759 suppresses
  3. L4:395 suppresses
  4. L5:219 suppresses
  5. L10:1762 weakly suppresses
  6. L4:2952 weakly excites
  7. L11:2120 weakly excites
  8. L3:276 weakly excites
  9. L26:1970 weakly excites
  10. L16:1847 weakly suppresses
  11. L14:1899 weakly suppresses
  12. L5:712 weakly suppresses
  13. L5:1954 weakly suppresses
  14. L22:1175 weakly excites
  15. L20:1201 weakly excites
  16. L27:1340 weakly suppresses
  17. L20:2704 weakly excites
  18. L20:2198 weakly excites
  19. L21:1434 weakly excites
  20. L4:1519 weakly suppresses
  21. L6:270 weakly suppresses
  22. L3:28 weakly suppresses
  23. L20:888 weakly excites
  24. L24:1327 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.

3 values between -0.32 and -0.276 values between -0.27 and -0.2240 values between -0.22 and -0.17132 values between -0.17 and -0.12305 values between -0.12 and -0.07699 values between -0.07 and -0.011178 values between -0.01 and 0.04835 values between 0.04 and 0.09430 values between 0.09 and 0.14180 values between 0.14 and 0.1964 values between 0.19 and 0.2425 values between 0.24 and 0.295 values between 0.29 and 0.351 values between 0.35 and 0.401 values between 0.40 and 0.451 values between 0.60 and 0.651 values between 0.65 and 0.701 values between 0.81 and 0.861 values between 1.68 and 1.73offnegativepositiveoften

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. etheless
  2. pose
  3. joke
  4. 后的
  5. junction
  6. pires
  7. rice
  8. ��
  9. )[:
  10. Fly

Suppresses

  1. ouver
  2. еть
  3. ubar
  4. Param
  5. _Param
  6. Param
  7. شه
  8. .getParameter
  9. -param
  10. OUTH