Neuron Explorer

Qwen3-0.6B

unclear: scattered word fragments

A neuron in layer 5 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 weakly and on many unrelated bits of text, such as parts of acronyms (EBUS, XLOOKUP) and odd word endings. No clear theme shows up, and turning it up or down did not produce an obvious change in meaning.

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

    a hurry?⏎Most common for 2D lookups are INDEX/MATCH/MATCH (see method number 4 below) or a 2D XLOOKUP (click here for more information).⏎What is a 2D lookup?⏎In

  2. #2 peak

    patient care. Advances in endoscopic techniques and in imaging help achieve these goals. Among endoscopy techniques are:⏎- Endobronchial ultrasound (EBUS)⏎- Electromagnetic navigation (EMN) with volumetric high-resolution computed

  3. #3 peak

    only partial access to thoracic lymph node stations.⏎By contrast, the convex endobronchial ultrasound (EBUS) bronchoscope provides real-time guidance for transbronchial needle aspiration (

  4. #4 peak

    Work II: Triangulation Qualitative Research: State of the Art and the Future Glossary References Author index Subject index About the Author.⏎(source: Nielsen Book Data)⏎'The fourth edition of Uwe Flick's "Introduction to Qualitative

  5. #5 peak

    materials such as MyPlate. A "portion" is the amount of a food you choose to eat at

  6. #6 peak

    unda tamamlamıştır.⏎Yüksek Lisans Öğrenimine MSÜ Barbaros DEBİM Enstitüsünde devam etmekte aynı zamanda enerji sistem ve modelleme üzerine araştırmalar

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: the problem. The problem is the time. The problem is ... Time What Problem: Time Time A: A A B C D E F G H I

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

    in place, regardless of its first letter).⏎When you have everything set the way you want, click the OK button. You will be returned to the document and you should see that the list is now in order.⏎Quick Note: When creating a

  2. #2 peak

    were shipped out to California by train.⏎Earlier, in Houston, he had become fascinated with steam cars. He enjoyed racing the other blades on Houston streets, and he discovered that the steamer could best any other automobile in a drag race; the

  3. #3 peak

    against foreign invasion in three great wars, thus ensuring tranquillity during much of his reign. In his final years, however, he faced internal disturbances, and he was ultimately killed in an attempted coup d’état.⏎Son of Setnakht

  4. #4 peak

    him to success for example, he would celebrate the date he received his first ever job (September 26, 1855) every year and he considered the date more important than his birthday. “All my future seemed to hinge

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. L4:2640 suppresses
  2. L4:131 suppresses
  3. L4:1831 weakly excites
  4. L3:3057 weakly excites
  5. L4:2081 weakly suppresses
  6. L4:2239 weakly suppresses
  7. L0:1437 weakly suppresses
  8. L1:2683 weakly excites
  9. L3:1415 weakly suppresses
  10. L0:2173 weakly excites
  11. L2:483 weakly suppresses
  12. L0:979 weakly excites
  13. L3:876 weakly suppresses
  14. L2:2404 weakly suppresses
  15. L1:1733 weakly suppresses
  16. L4:2355 weakly excites
  17. L0:2368 weakly excites
  18. L2:1056 weakly suppresses the word "thought" before "to"
  19. L3:881 weakly excites
  20. L2:399 weakly suppresses
  21. L2:2207 weakly excites
  22. L4:2102 weakly excites
  23. L0:963 weakly suppresses
  24. L2:70 weakly excites

Feeds later layers

  1. L9:626 excites 'and' after action verbs like click or stand
  2. L7:138 excites 'to' after verbs like prove or time
  3. L14:896 suppresses
  4. L15:2765 weakly excites
  5. L12:446 weakly excites
  6. L10:289 weakly excites
  7. L6:1880 weakly excites "by" introducing a deadline or means
  8. L8:369 weakly suppresses 'of' after 'learned' or 'because'
  9. L6:228 weakly excites comma after a filler word
  10. L16:1540 weakly excites
  11. L6:2509 weakly suppresses
  12. L19:121 weakly excites
  13. L19:1305 weakly suppresses unclear: verbs after a noun or 'that'
  14. L21:2238 weakly suppresses
  15. L20:879 weakly suppresses
  16. L21:1594 weakly suppresses
  17. L7:874 weakly suppresses
  18. L10:1392 weakly suppresses
  19. L8:70 weakly excites 'and' between stacked superlatives
  20. L21:2308 weakly excites
  21. L24:1424 weakly suppresses
  22. L6:347 weakly suppresses
  23. L17:158 weakly excites
  24. L15:452 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.

1 values between -1.14 and -1.081 values between -0.78 and -0.721 values between -0.72 and -0.661 values between -0.66 and -0.602 values between -0.54 and -0.487 values between -0.48 and -0.4211 values between -0.42 and -0.3614 values between -0.36 and -0.3039 values between -0.30 and -0.2488 values between -0.24 and -0.18244 values between -0.18 and -0.12482 values between -0.12 and -0.06874 values between -0.06 and 0.00901 values between 0.00 and 0.06661 values between 0.06 and 0.12333 values between 0.12 and 0.18151 values between 0.18 and 0.2464 values between 0.24 and 0.3019 values between 0.30 and 0.369 values between 0.36 and 0.422 values between 0.42 and 0.481 values between 0.54 and 0.601 values between 0.60 and 0.661 values between 1.21 and 1.27offnegativepositiveoften

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. eva
  2. しかも
  3. 销
  4. były
  5. tod
  6. hra
  7. PIPE
  8. 摆在
  9. Export
  10. Spec

Suppresses

  1. ension
  2. bies
  3. �
  4. icator
  5. engers
  6. ents
  7. apped
  8. ителя
  9. istent
  10. ickest