Neuron Explorer

Qwen3-0.6B

unclear: word fragments and 'or'/'and' in lists

A neuron in layer 25 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

The pattern is hard to pin down. It tends to fire on pieces of split words, such as the middle of a name, or on words like 'and' and 'or' inside lists. Turning it up made the model drift toward repeated plain phrases like 'the weather outside was fine', with no clear theme.

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

    Stars⏎An accessible introduction to neutron stars that includes details on their life cycles as well as detailed information on neutron star variants such as x-ray and gamma ray bursters.⏎Introduction to Pulsar Astronomy⏎A tutorial on radio

  2. #2 peak

    Mark⏎A. Mandel, Charles Häberl, Will Bennett, Johannes Reese, Cristina Matute⏎The following is

  3. #3 peak

    best to utilize other forages during this period of growth, such as annual warm-season grasses or legumes where possible. You might also consider feeding hay or grain.⏎De-stock pastures. Livestock pressure on pastures can be

  4. #4 peak

    gets its name from its size — it is the largest of all North American rails, a group of marsh-dwelling birds that includes moorhens and gallinules.⏎It’s a year-round resident of Florida and found throughout the state

  5. #5 peak

    fail, find on the wall next to the art, a statement from the artist about their intent for the piece.⏎When Marcel Duchamp submitted an upside-down porcelain urinal signed “R.Mutt”<|endoftext|>The Galileo Museum in Florence is an

  6. #6 peak

    Sons first. As far as I can tell, they both sprang from the same War to End all Wars, against the Greek King Antiochus Epiphanes who decided to wipe the Jewish nation from the face of the earth 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: The experience of the past can often be remembered as being of the past, but sometimes as being of the present. What's up with that? How can the experience of the past be remembered as being of the present? **"Content"

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

    from Science Advances, it was believed there were two species of of wolves in the United States: gray wolves (Canis lupus) and red wolves (Canis rufus). Gray wolves were brought in from Canada to repopulate Yellowstone

  2. #2 peak

    igure of splicing mechanisms)⏎Splicing of nuclear mRNA is catalyzed by specialized RNA-protein complexes called small nuclear ribonucleoprotein⏎particles (snRNPs). The RNAs found in snRNPs are identified as U1

  3. #3 peak

    digital records for use in K-12 lesson plans, visit the IHRC’s portal for digital resources via the University of Minnesota’s UMedia Archive:http://ihrc.umn.edu/research/digitalsources.php⏎Click here for additional

  4. #4 peak

    points in Scrabble, and 8 points in Words with Friends⏎There are 5 letters in rifts: F I R S T⏎2 Anagrams of Rifts⏎Words that can

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. L20:661 suppresses
  2. L23:2462 suppresses
  3. L21:577 excites
  4. L22:406 suppresses
  5. L24:2469 excites
  6. L21:1180 excites
  7. L22:223 suppresses
  8. L21:564 excites
  9. L19:1753 suppresses
  10. L23:1655 suppresses
  11. L24:2266 excites
  12. L20:1002 excites
  13. L23:182 suppresses
  14. L23:216 excites
  15. L24:26 excites
  16. L21:370 suppresses
  17. L22:337 suppresses
  18. L22:98 suppresses
  19. L21:1347 suppresses
  20. L24:809 suppresses
  21. L24:2813 weakly excites
  22. L22:374 weakly excites
  23. L22:1534 weakly suppresses
  24. L22:380 weakly suppresses

Feeds later layers

  1. L27:835 strongly suppresses
  2. L27:285 suppresses
  3. L27:1696 suppresses
  4. L26:1822 weakly suppresses
  5. L26:1016 weakly suppresses
  6. L27:1372 weakly suppresses
  7. L27:1378 weakly excites
  8. L27:765 weakly excites
  9. L26:1014 weakly excites
  10. L26:112 weakly excites
  11. L27:1473 weakly suppresses
  12. L27:2464 weakly excites
  13. L26:2510 weakly excites
  14. L27:2520 weakly suppresses
  15. L26:2298 weakly suppresses
  16. L26:1903 weakly excites
  17. L26:1489 weakly excites
  18. L26:959 weakly excites
  19. L26:1081 weakly excites
  20. L26:1158 weakly suppresses
  21. L26:2243 weakly excites
  22. L27:2759 weakly excites
  23. L26:3060 weakly excites
  24. L26:2143 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.

2 values between -8.45 and -7.861 values between -7.86 and -7.281 values between -7.28 and -6.701 values between -6.70 and -6.121 values between -6.12 and -5.543 values between -5.54 and -4.962 values between -4.96 and -4.383 values between -4.38 and -3.797 values between -3.79 and -3.218 values between -3.21 and -2.6314 values between -2.63 and -2.0531 values between -2.05 and -1.4762 values between -1.47 and -0.89308 values between -0.89 and -0.312667 values between -0.31 and 0.28542 values between 0.28 and 0.86100 values between 0.86 and 1.4443 values between 1.44 and 2.0222 values between 2.02 and 2.6025 values between 2.60 and 3.1818 values between 3.18 and 3.7711 values between 3.77 and 4.357 values between 4.35 and 4.938 values between 4.93 and 5.511 values between 5.51 and 6.097 values between 6.09 and 6.673 values between 6.67 and 7.252 values between 7.25 and 7.843 values between 8.42 and 9.002 values between 9.00 and 9.581 values between 10.16 and 10.742 values between 14.23 and 14.81offnegativepositiveoften

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. LR
  2. →Request
  3. Request
  4. (Request
  5. Restore
  6. ished
  7. ico
  8. &R
  9. Record
  10. гла

Suppresses

  1. r
  2. r
  3. (r
  4. $r
  5. <r
  6. =r
  7. )r
  8. [r
  9. *r
  10. r