Neuron Explorer

Qwen3-0.6B

"to" after made or need-type verbs

A neuron in layer 5 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 word "to" when it introduces an action someone or something is forced, made, or needed to do, as in "made to work" or "need people to fight." It goes quiet, and slightly negative, in "beaten to death." Turning it up made the model's writing drift into unrelated rambling rather than anything about this pattern.

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

    a Chemistry Tutor<|endoftext|>Those who fight for us, also need people to fight for them.⏎The military physically protects us and sacrifices for us, yet some

  2. #2 peak

    Of International Conference On Communication Science⏎This work is licensed under a Creative Commons Attribution 4.0 International License.<|endoftext|>How do you explain how babies are made to an 8-year-old?⏎This topic has been the subject of countless jokes over

  3. #3 peak

    at 18:48 BST⏎It is a form of modern day slavery otherwise known as forced labour. Millions of men, women and children are made to work against their will for little or no pay.⏎The UN's International Labour Organisation

  4. #4 peak

    , liberty or possessions; for men being all the workmanship of one omnipotent and infinitely wise Maker… they are His property, whose workmanship they are made to last during His, not one another's pleasure.⏎This idea found its way into

  5. #5 peak

    what counts as ‘health data’.⏎We put forward evidence that the datafication of health has created an ‘Internet of Health’, in which everyone is made to perform as a patient, subject to continuous monitoring, diagnosis and prediction. We ask

  6. #6 peak

    The substrate is made to be the cathode and the coating the sacrificial corroding anode. An

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: "I am, as the first time, the one I have been thinking about... but I need a little more than that." I need to be clear, and I need... and I need again and again. Let me see... and

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

    the woman's story, and when the crowd took notice of a hearse parked outside of the store, the rumor began to circulate that Rivera had been beaten to death. The woman who had raised the alarm was arrested for disorderly conduct,

  2. #2 peak

    Pandits fled the very next day. In April 1990, a Kashmiri Pandit nurse Sarla Bhat was gang-raped and beaten to death, in June Girija Tickoo was also gang-raped and then sliced

  3. #3 peak

    .⏎Once again, Leah made my dream come to my life. Her chameleonic beauty makes it so easy to transform in every possible character, from Sleeping Beauty to Wonderwoman, to my very own Girl with a Pearl Earring.⏎To

  4. #4 peak

    century it was burned to the ground and was rebuilt shortly afterwards only to be abandoned a century later, the

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. L4:227 suppresses
  2. L3:1152 suppresses
  3. L4:328 suppresses 'to' after 'so as' and infinitive cues
  4. L2:1883 weakly suppresses
  5. L3:2734 weakly excites
  6. L4:1254 weakly excites
  7. L4:1909 weakly excites
  8. L3:2613 weakly suppresses
  9. L3:2358 weakly suppresses
  10. L1:906 weakly suppresses
  11. L3:1703 weakly suppresses
  12. L4:90 weakly suppresses
  13. L2:1634 weakly excites
  14. L3:1573 weakly suppresses
  15. L3:1227 weakly excites
  16. L3:987 weakly excites
  17. L4:771 weakly suppresses
  18. L1:1949 weakly excites
  19. L0:2842 weakly suppresses
  20. L0:2394 weakly suppresses
  21. L0:1132 weakly suppresses
  22. L4:2693 weakly excites
  23. L2:1790 weakly excites
  24. L4:1381 weakly suppresses

Feeds later layers

  1. L7:681 excites 'from' after prevent or stop
  2. L17:2834 excites
  3. L11:2149 excites
  4. L6:1022 excites
  5. L8:369 suppresses 'of' after 'learned' or 'because'
  6. L6:2841 weakly excites
  7. L19:2724 weakly suppresses
  8. L16:1291 weakly excites
  9. L18:2120 weakly excites
  10. L8:132 weakly excites
  11. L8:2146 weakly excites "as" in "it seems as if" phrases
  12. L11:1641 weakly excites
  13. L12:896 weakly excites
  14. L20:1290 weakly suppresses
  15. L17:1661 weakly excites
  16. L17:2368 weakly excites
  17. L6:233 weakly excites
  18. L15:1047 weakly excites
  19. L17:1994 weakly excites
  20. L16:1836 weakly excites
  21. L6:1209 weakly excites
  22. L17:1495 weakly excites 'without' introducing a contrast
  23. L14:1096 weakly suppresses
  24. L8:1491 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 -1.37 and -1.281 values between -1.09 and -1.001 values between -0.91 and -0.821 values between -0.82 and -0.721 values between -0.72 and -0.633 values between -0.63 and -0.545 values between -0.54 and -0.4516 values between -0.45 and -0.3642 values between -0.36 and -0.26170 values between -0.26 and -0.17513 values between -0.17 and -0.081389 values between -0.08 and 0.011086 values between 0.01 and 0.11448 values between 0.11 and 0.20146 values between 0.20 and 0.2935 values between 0.29 and 0.3815 values between 0.38 and 0.478 values between 0.47 and 0.576 values between 0.57 and 0.663 values between 0.66 and 0.756 values between 0.75 and 0.843 values between 0.84 and 0.931 values between 0.93 and 1.033 values between 1.03 and 1.121 values between 1.12 and 1.211 values between 1.30 and 1.391 values between 1.49 and 1.581 values between 2.13 and 2.221 values between 2.22 and 2.31offnegativepositiveoften

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. ��
  2. .Func
  3. orque
  4. insula
  5. behaving
  6. :NS
  7. ORIA
  8. },⏎⏎
  9. 操纵
  10. })(

Suppresses

  1. zzo
  2. ilitation
  3. 卡
  4. زة
  5. geführt
  6. bursement
  7. iotic
  8. lette
  9. cluding
  10. ckt