Neuron Explorer

Qwen3-0.6B

sentence-ending full stops

A neuron in layer 17 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on the full stop that closes a sentence, especially near the end of a paragraph or a block of text. When it was turned up, the model's writing became repetitive or fell into lists of short lines, so it does not clearly control any single topic.

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

    of our tutors. If you have any questions, please contact us at firstname.lastname@example.org or 410.837.5383.<|endoftext|>Microsoft co-founder Paul Allen has shown off the “

  2. #2 peak

    amounts of meat, cheese may be as deadly as smoking.”⏎Note: We’re about to get science-heavy. You can scroll to the bottom for the takeaways. We’ve also summarized important points along the way.⏎The study itself was part epidemi

  3. #3 peak

    practical applications include improved communications technology, television displays and night-vision devices.⏎Tags: Lene Vestergaard Hau, physicist, spped of light.<|endoftext|>The Real

  4. #4 peak

    in labor input in a RBC model, not caused by real wage fluctuations, should be negatively correlated with consumption."⏎Choose 1 out of the following 2. Provide a strict formal argument. Worth 25 points.⏎7. Consider a

  5. #5 peak

    We anticipate that this apparent violation of the generalized second law will disappear when solutions are available for black holes embedded in arbitrary backgrounds.⏎|Original language||English (US)|⏎|Number of pages||12|⏎|Journal||Classical and Quantum

  6. #6 peak

    International Journal of Engineering and Technology vol. 5, no. 5, pp. 532-535, 2013.<|endoftext|>Following the Indian Ocean tsunami of December 26, 200

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: what if the "normal" view of the way is, as an effort by the self: how can this be done by others, and by what does this, as a society, can be done by the most importantly, by what do

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

    ⏎- Old books/newspapers/leaflets etc⏎- Needle and thread⏎- Something pokey, like a screwdriver⏎- A ruler and pencil⏎Many artists are now working with recycled or more sustainable materials, and using their art

  2. #2 peak

    fuel, chemical, and water meters.⏎Tools & Technology⏎Tools used in this occupation:⏎- Air dryers — Biomass dryers⏎- Batching plants or feeders — Reclaim feeders⏎- Belt convey

  3. #3 peak

    a snack as often as every 1 to 2 hours during the day. Do not let yourself get too hungry or too full.⏎- Drink plenty of liquids.⏎- Try to drink between meals rather than with meals so that your stomach does

  4. #4 peak

    that the ratio of the distace between any point of the curve and the focus to the distance of the same point from the directrix is constant. 2⏎n. -

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. L16:2583 suppresses
  2. L16:1264 suppresses
  3. L15:1252 suppresses
  4. L15:410 suppresses
  5. L16:1047 excites
  6. L15:1347 excites
  7. L16:1767 excites
  8. L15:2201 suppresses
  9. L16:352 suppresses
  10. L16:2782 suppresses
  11. L14:393 excites
  12. L15:1774 excites 'only' in 'not only ... but also'
  13. L15:2666 weakly excites
  14. L16:1371 weakly excites
  15. L13:1261 weakly suppresses
  16. L15:916 weakly excites
  17. L16:359 weakly excites
  18. L13:618 weakly excites
  19. L16:1621 weakly suppresses
  20. L16:2398 weakly excites
  21. L13:1632 weakly suppresses words inside headlines and titles
  22. L14:1827 weakly excites
  23. L13:2771 weakly suppresses
  24. L6:74 weakly suppresses

Feeds later layers

  1. L18:1082 suppresses
  2. L18:1249 suppresses
  3. L19:1044 suppresses
  4. L18:1570 suppresses
  5. L18:1341 suppresses
  6. L18:572 excites
  7. L19:1940 suppresses
  8. L20:1162 suppresses
  9. L19:550 suppresses
  10. L20:692 suppresses
  11. L22:597 suppresses end of document token
  12. L20:44 excites
  13. L19:789 excites
  14. L19:1468 suppresses
  15. L18:1268 suppresses
  16. L19:975 suppresses
  17. L19:195 excites
  18. L19:909 suppresses
  19. L20:916 suppresses
  20. L19:1069 suppresses
  21. L18:593 excites
  22. L19:2210 suppresses
  23. L19:2057 suppresses
  24. L19:2031 suppresses line breaks in web footers and metadata

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 -6.13 and -5.891 values between -4.40 and -4.152 values between -3.90 and -3.651 values between -3.65 and -3.411 values between -3.41 and -3.162 values between -3.16 and -2.911 values between -2.91 and -2.662 values between -2.66 and -2.413 values between -2.41 and -2.173 values between -2.17 and -1.923 values between -1.92 and -1.671 values between -1.67 and -1.426 values between -1.42 and -1.176 values between -1.17 and -0.9321 values between -0.93 and -0.68208 values between -0.68 and -0.431198 values between -0.43 and -0.181929 values between -0.18 and 0.07403 values between 0.07 and 0.3254 values between 0.32 and 0.5625 values between 0.56 and 0.8111 values between 0.81 and 1.063 values between 1.06 and 1.318 values between 1.31 and 1.562 values between 1.56 and 1.802 values between 1.80 and 2.053 values between 2.05 and 2.301 values between 2.55 and 2.801 values between 2.80 and 3.043 values between 3.04 and 3.293 values between 3.54 and 3.79offnegativepositiveoften

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. entai
  2. *⏎
  3. itori
  4. Cons
  5. &⏎
  6. ",⏎
  7. ⏎
  8. %⏎
  9. ,⏎
  10. *,⏎

Suppresses

  1. 麽
  2. ivation
  3. ��
  4. Anyway
  5. awakeFromNib
  6. }):
  7. __).
  8. clarations
  9. $/)
  10. ]).