Neuron Explorer

Qwen3-0.6B

'trying' after 'were' or 'are'

A neuron in layer 20 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 fires on the word 'trying' when it comes right after a pronoun and a form of 'to be', as in 'they are trying to' or 'you're trying to'. Its strongest negative reactions are on odd word pieces like 'star' in 'star-crossed'. Turning it up made the model produce repetitive, off-topic text, so the link to 'trying' is not confirmed by the steering.

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

    faced with thousands of choices and for the student, such choice is overwhelming and confusing. By studying how and why other writers made decisions based upon the effects they were trying to produce in the reader, the student writer is guided through this confusion.⏎But

  2. #2 peak

    lyrics in the song. If your melody sounds morose, sing words out that echo the sadness of the lyric, not something happy or silly, unless you're trying to convey some sense of irony. Sing whatever comes naturally. Sometimes a part of

  3. #3 peak

    they afraid that they would again have a standing-room-only crowd of concerned citizens rejecting the HCP, as they did in 2016? Are they trying to avoid having to answer questions about why their flawed analysis claims the HCP is

  4. #4 peak

    the hell we're doing, if you know C and have worked as a computer programmer a few years, you probably already have a rough idea of what I'm trying to do with those declarations. Humans read code, and humans infer things from the

  5. #5 peak

    that will eventually form words. When she babbles and vocalizes now, your baby may sound as if she's making sense. That's because she's trying out tones and patterns similar to the ones

  6. #6 peak

    structures (for example, "promoters") are not as sensitive to base pair sequences as proteins are to amino acid sequences, but these are exceptional; we are trying to account for the development of the large number of proteins that are very specific and

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 20th and 19th of the 2nd and 1st of a new date. Let me be more explicit. Let's say a new date is 1 and 2, then the 20

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

    dells are much bothered by such conditions, with some sporting the beer-belly equivalent of eight centimeters of blubber. But what about nursing mothers or half-starved juveniles still honing their foraging skills?⏎“Smaller, lean

  2. #2 peak

    formula is used when nothing about the behavior of a population is known at all. * How to Use Slovin's Formula⏎Slovin's formula is written as

  3. #3 peak

    life it was her own foolish choice and actions that lead to her and Romeo's death. Though the death of Romeo and Juliet was a tragic love story of two star-crossed lovers, caused by their families and friends, more specifically Friar Lawrence

  4. #4 peak

    Siefker, Daniel Wenger, Matias Mancini, John Thompson, Chris Krish, and Alvero Wiggins for supporting us this week.⏎NOTE: StarTalk+ Patrons can watch or listen to this entire episode commercial-free.⏎About

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. L18:778 strongly excites
  2. L18:1474 suppresses
  3. L2:1724 suppresses
  4. L2:1975 suppresses
  5. L17:1313 excites
  6. L17:1128 excites
  7. L16:43 excites
  8. L15:115 excites
  9. L16:184 excites
  10. L5:954 suppresses
  11. L16:31 suppresses
  12. L16:1304 excites
  13. L16:92 excites
  14. L18:80 suppresses
  15. L5:244 suppresses
  16. L15:129 suppresses
  17. L10:951 suppresses
  18. L15:96 suppresses
  19. L15:89 excites
  20. L15:82 suppresses
  21. L10:947 excites
  22. L6:2680 excites
  23. L4:1716 suppresses
  24. L6:299 weakly suppresses

Feeds later layers

  1. L26:1367 strongly suppresses unclear: asterisk symbols in mixed text
  2. L21:1745 excites
  3. L21:1877 excites
  4. L23:2163 suppresses
  5. L21:1980 weakly excites
  6. L21:334 weakly suppresses
  7. L21:1016 weakly excites
  8. L21:1661 weakly excites
  9. L21:1246 weakly excites
  10. L26:2228 weakly excites
  11. L26:1428 weakly suppresses
  12. L26:2672 weakly suppresses
  13. L25:413 weakly suppresses
  14. L24:593 weakly suppresses
  15. L22:1848 weakly excites
  16. L26:1921 weakly suppresses
  17. L26:1638 weakly excites
  18. L26:1660 weakly suppresses
  19. L27:2975 weakly excites
  20. L27:1373 weakly excites
  21. L26:1190 weakly excites
  22. L26:2675 weakly excites
  23. L25:563 weakly suppresses
  24. L21:1890 weakly 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.

1 values between -28.97 and -27.941 values between -10.42 and -9.391 values between -8.36 and -7.332 values between -7.33 and -6.306 values between -5.27 and -4.242 values between -4.24 and -3.217 values between -3.21 and -2.1815 values between -2.18 and -1.15127 values between -1.15 and -0.123369 values between -0.12 and 0.92360 values between 0.92 and 1.9510 values between 1.95 and 2.981 values between 2.98 and 4.011 values between 4.01 and 5.042 values between 5.04 and 6.071 values between 10.19 and 11.222 values between 11.22 and 12.25offnegativepositiveoften

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. иров
  2. apolis
  3. ита
  4. нят
  5. пон
  6. urances
  7. ировки
  8. riendly
  9. pector
  10. ite

Suppresses

  1. light
  2. 睛
  3. nd
  4. icer
  5. pes
  6. بق
  7. MER
  8. 候
  9. .yahoo
  10. Terraria