Neuron Explorer

Qwen3-0.6B

word just before a 'reason is' explanation

A neuron in layer 19 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 lights up on the word right before a point is explained, like 'the reason was simple' or 'for good or ill'. It seems to expect that an explanation is coming next. Turning it up made the text wander without a clear theme.

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

    down all of your classes, the assignments, the time and day things are due. For some men, this could be very helpful. Planners exist for a reason–they actually work. Maybe it'll help you be more responsible in school.⏎

  2. #2 peak

    seen as newsworthy.⏎But the closure of the Samchully factory attracted the attention of the major media. The reason was simple: the factory was the last in Seoul to produce coal briquettes, known

  3. #3 peak

    The latter can be defended, but the former demands us to jettison its nationalistic undertones, and implicitly acknowledges the complexities of nationalism that drives societies for good or ill.⏎Nationalism becomes

  4. #4 peak

    are essential for keeping millions of women and families above the poverty line. We know that women disproportionately rely on these programs, making the message from the state poverty data clear: Programs for low-income families and individuals must be protected. We sincerely hope Congress

  5. #5 peak

    ) tells us what the audience will see and hear, starting with the beginning<|endoftext|>Unearthing Ancient History in Tuscany⏎The goal of this expedition is simple: to help experts reconstruct the complex past of Populonia as fully as possible

  6. #6 peak

    clearly accelerating rapidly – from a crawl in biblical times, to a jog in the 20th century, to a sprint now.⏎The reason for this is simple. The more technology you have at your disposal, the easier it is to invent

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: to in from of from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from from

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

    of Superfund Sites in the United States. As part of NIEHS's Superfund Research Program, the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) is exploring the relationships

  2. #2 peak

    War, either through their own family history, links to their local community or because of its long-term impact on the world we live in today. Through projects like Faces of the First World War and the

  3. #3 peak

    public to help find out more about all the servicemen whose images make up the online exhibition but about whom very little else is known.⏎The collection of photographs - Faces of the First World War - is part of the IWM's preparations to mark

  4. #4 peak

    side Congress and the CFPB, the Native American Financial Services Association (NAFSA) is dedicated to providing financial literacy to everyone. Through their Financial Literacy Program, NAFSA provides free financial literacy modules and tools with easy-to-under

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. L18:579 excites
  2. L17:1167 excites
  3. L16:1855 excites
  4. L17:870 suppresses
  5. L13:2078 excites
  6. L2:86 excites
  7. L18:2748 excites
  8. L17:118 weakly suppresses comma after a clause ending
  9. L18:519 weakly excites
  10. L17:1111 weakly excites
  11. L16:1375 weakly suppresses
  12. L16:163 weakly suppresses
  13. L8:1955 weakly suppresses
  14. L6:2950 weakly suppresses
  15. L17:1039 weakly suppresses
  16. L15:1554 weakly excites
  17. L16:2715 weakly suppresses
  18. L15:2459 weakly suppresses
  19. L17:1639 weakly excites
  20. L17:89 weakly excites
  21. L17:677 weakly suppresses
  22. L9:7 weakly suppresses
  23. L11:2484 weakly suppresses
  24. L17:1771 weakly suppresses

Feeds later layers

  1. L22:132 suppresses
  2. L20:55 excites
  3. L22:160 excites
  4. L27:453 suppresses
  5. L21:140 excites
  6. L20:833 suppresses
  7. L20:873 suppresses
  8. L20:2925 suppresses
  9. L21:875 suppresses
  10. L20:1327 suppresses
  11. L22:1481 suppresses
  12. L21:514 suppresses
  13. L22:288 suppresses
  14. L24:116 excites
  15. L24:333 suppresses
  16. L27:338 suppresses
  17. L20:450 suppresses
  18. L23:570 suppresses
  19. L26:711 suppresses 'years' after an age number
  20. L21:2783 suppresses
  21. L21:818 suppresses
  22. L25:553 suppresses
  23. L25:277 suppresses
  24. L26:585 suppresses

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.

2 values between -9.85 and -9.521 values between -8.52 and -8.181 values between -7.85 and -7.511 values between -6.85 and -6.512 values between -4.84 and -4.511 values between -4.51 and -4.174 values between -4.17 and -3.842 values between -3.84 and -3.519 values between -3.51 and -3.173 values between -3.17 and -2.846 values between -2.84 and -2.509 values between -2.50 and -2.1717 values between -2.17 and -1.8417 values between -1.84 and -1.5024 values between -1.50 and -1.1766 values between -1.17 and -0.83193 values between -0.83 and -0.50942 values between -0.50 and -0.171984 values between -0.17 and 0.17364 values between 0.17 and 0.50135 values between 0.50 and 0.8460 values between 0.84 and 1.1724 values between 1.17 and 1.5023 values between 1.50 and 1.846 values between 1.84 and 2.176 values between 2.17 and 2.515 values between 2.51 and 2.841 values between 3.17 and 3.51offnegativepositiveoften

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. 煌
  2. 番
  3. جة
  4. ühr
  5. werp
  6. 宙
  7. 不清
  8. _Msk
  9. 正当
  10. emean

Suppresses

  1. ForKey
  2. of
  3. _of
  4. Of
  5. -of
  6. Of
  7. for
  8. ForObject
  9. ofType
  10. _for