Neuron Explorer

Qwen3-0.6B

second half of a split name

A neuron in layer 0 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 the later piece of a name or word that the tokenizer has chopped into pieces, such as the 'yard' in Rudyard Kipling or 'kin' in Rodkin. Turning it up did not produce a clear theme in the model's writing.

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

    species.⏎In the late 1800s, naturalists named the spider Bagheera kiplingi after a panther in British author Rudyard Kipling's 1894 children's book The Jungle Book.⏎

  2. #2 peak

    their behavior.⏎Genuine connections are the essential prerequisite to creating a positive classroom culture that can withstand the force of changing social dynamics.⏎Role Model Kindness⏎Rodkin & Hodges (2003) cite evidence that when teachers are warm

  3. #3 peak

    at home where they eat rice, fish, chicken and vegetables flavored with ngapi (a pungent, dry, fermented fish or shrimp paste described by Rudyard Kipling as "fish pickled when it

  4. #4 peak

    .1 expresses suicidal ideation. This interpretation is misguided. Toward the end of his speech Hamlet does mention that life can be surrendered by a mere bodkin. Here, Hamlet is expressing the frailty of the human body and the

  5. #5 peak

    , because with odd enough file names one can cause⏎diff to generate a patch that is syntactically correct but⏎patches the wrong files. The<|endoftext|>Dante Gabriel Rossetti⏎George Henry and Edward Atkinson Hornel⏎Henri

  6. #6 peak

    faster clicks higlighted in the green regions of the spectrogram. To hear the recording, click on the spectrogram.<|endoftext|>Title: Do crocodilians get the flu?: Looking for influenza A in

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 to get more help with this. I am a student. I am in my own class. I am in my school. I am in my own school. I am a student. I am a student. I am in my

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

    .⏎The next step is to determine the identifier for the drive you want to make an image of. In the terminal window, type in the command⏎sudo fdisk -l⏎Our 1GB drive is /<|endoftext|>During the period from

  2. #2 peak

    ten objects from museum collections in Greater Manchester⏎A compass used in a PoW escape, a railway station sundial and part of the world's first commercial computer: objects that tell a history of

  3. #3 peak

    361. He moved his capital to Adrionople (now Edirne), Thrace's capital and the second city of the Byzantine Empire.

  4. #4 peak

    for playing music. He also took Indian classical music to outside countries and got many awards like Unesco Award, Unicef’s National Ambassadorship, and Padma Bhushan (“Instrumentalists”). ...⏎Not exactly what<|endoftext|>The Challenger Reports

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

None: this is the first layer.

Feeds later layers

  1. L18:105 suppresses
  2. L1:1026 suppresses
  3. L17:300 suppresses
  4. L1:1075 excites
  5. L20:200 suppresses
  6. L1:1774 suppresses
  7. L16:572 suppresses
  8. L1:161 excites
  9. L1:1479 suppresses
  10. L22:473 suppresses
  11. L1:10 suppresses
  12. L5:196 suppresses the 'D' in vitamin D
  13. L10:180 suppresses
  14. L21:2743 suppresses
  15. L21:1912 suppresses
  16. L23:2947 suppresses
  17. L19:526 weakly suppresses
  18. L2:2014 weakly suppresses
  19. L8:1704 weakly excites
  20. L1:2545 weakly excites
  21. L8:639 weakly suppresses
  22. L1:30 weakly excites
  23. L5:2819 weakly excites
  24. L27:2376 weakly suppresses capital D starting a split word

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 -2.93 and -2.841 values between -1.08 and -1.001 values between -0.83 and -0.742 values between -0.57 and -0.491 values between -0.49 and -0.413 values between -0.41 and -0.3233 values between -0.24 and -0.15325 values between -0.15 and -0.071856 values between -0.07 and 0.011407 values between 0.01 and 0.10227 values between 0.10 and 0.1844 values between 0.18 and 0.273 values between 0.27 and 0.354 values between 0.35 and 0.43offnegativepositiveoften

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. .getResponse
  2. /arm
  3. entimes
  4. Jeremy
  5. _RESOLUTION
  6. GroupLayout
  7. 袖
  8. fgang
  9. (li
  10. ESC

Suppresses

  1. ivate
  2. icter
  3. cape
  4. ƞ
  5. aday
  6. atica
  7. ဉ
  8. Amar
  9. 之乡
  10. 过程当中