Neuron Explorer

Qwen3-0.6B

'to' or verb after 'what' or 'whether'

A neuron in layer 10 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 fires on the word that comes right before a verb in a decision or intention phrase, such as the 'to' in 'what to believe', 'whether to enroll', or 'choose to take'. Turning it up made the model repeat phrases, and turning it down made it drift into maths word problems.

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

    deciding that Howard, the fittest of the three, should continue alone to find help, leaving Mick to care for Cleve who by then,

  2. #2 peak

    . It means analyzing the choice of what to believe or do. You must be thinking, how is it different from the usual

  3. #3 peak

    needed. While it may sound trivial, the decision on what to produce/grow has important ramifications. If you plan to grow/produce a new

  4. #4 peak

    -- Umberto Eco⏎More information about the Python-list<|endoftext|>Jayne Davis: “I am not convinced in my area of research there are less females choosing to take their career in this direction.”⏎We spoke to Jay

  5. #5 peak

    and this comes from close observation of the plants plus a large application of common sense. Just take one step at a time. Master the fundamentals before you succumb to the excitement of special techniques or the challenge of difficult subjects

  6. #6 peak

    were to succeed each other, moving up the hierarchy of cities toward Kiev, filling vacancies left by the advancement or death of an elder brother. The youngest brother was to be succeeded as grand prince by his eldest nephew whose father had been a grand prince

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: a) a) the number of possible choices for a and a single choice from the top row (a) a x a x 100 (a) 100 (a) 100 is not possible,

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

    outer ear infection.⏎You should tilt your head to the side so the affected ear looks up when applying the drops. To widen the ear canal:⏎- Gently pull the earlobe back and down.⏎- Before using the ear drops, give the

  2. #2 peak

    oving tool. Grasp the tick as close to the skin as possible. If you don’t have tweezers, protect your fingers with a tissue.⏎- Pull the<|endoftext|>Listen to radar echoes from satellites and meteors, live on listener

  3. #3 peak

    were transported to the shore. The press was desperate to find out what exactly happened out there.⏎Thousands of people gathered on the streets of New York, patiently waiting for the arrival of RMS Carpathia…⏎This doesn’t come as a surprise,

  4. #4 peak

    was standing. I managed to move behind the trunk of a spruce tree. My trembling fingers clutched the cannister of bear spray fastened to my beltóa last resort in case of

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. L9:556 suppresses
  2. L7:417 suppresses
  3. L6:885 excites
  4. L8:2526 suppresses
  5. L6:385 suppresses
  6. L9:701 suppresses
  7. L9:712 excites
  8. L5:2008 excites
  9. L6:291 suppresses
  10. L7:1968 suppresses
  11. L7:531 excites
  12. L9:2276 excites
  13. L7:208 suppresses
  14. L9:2063 suppresses
  15. L6:2385 excites
  16. L7:1360 excites
  17. L7:655 excites
  18. L7:521 suppresses
  19. L7:1875 weakly suppresses
  20. L7:823 weakly excites
  21. L7:2892 weakly excites
  22. L7:577 weakly excites
  23. L7:1278 weakly excites
  24. L8:2913 weakly suppresses

Feeds later layers

  1. L11:1469 excites
  2. L12:1604 excites
  3. L13:3038 excites
  4. L12:19 excites
  5. L13:1711 suppresses
  6. L14:2214 excites
  7. L11:2296 suppresses
  8. L17:2534 suppresses
  9. L11:1745 suppresses
  10. L12:2946 excites
  11. L13:3022 suppresses
  12. L12:1982 excites
  13. L15:2053 excites
  14. L11:2274 suppresses
  15. L11:1606 suppresses
  16. L15:2392 excites
  17. L14:1717 weakly suppresses
  18. L13:844 weakly excites 'of' after a percentage or share
  19. L14:462 weakly suppresses
  20. L12:1041 weakly suppresses
  21. L11:346 weakly excites
  22. L13:1311 weakly suppresses
  23. L22:192 weakly excites
  24. L13:2210 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 -2.20 and -2.052 values between -2.05 and -1.893 values between -1.89 and -1.742 values between -1.74 and -1.592 values between -1.59 and -1.448 values between -1.44 and -1.2910 values between -1.29 and -1.1321 values between -1.13 and -0.9831 values between -0.98 and -0.8351 values between -0.83 and -0.6869 values between -0.68 and -0.52152 values between -0.52 and -0.37302 values between -0.37 and -0.22582 values between -0.22 and -0.071603 values between -0.07 and 0.08546 values between 0.08 and 0.24226 values between 0.24 and 0.39100 values between 0.39 and 0.5456 values between 0.54 and 0.6945 values between 0.69 and 0.8528 values between 0.85 and 1.0015 values between 1.00 and 1.1519 values between 1.15 and 1.3010 values between 1.30 and 1.457 values between 1.45 and 1.613 values between 1.61 and 1.764 values between 1.76 and 1.912 values between 1.91 and 2.062 values between 2.37 and 2.523 values between 2.52 and 2.671 values between 2.67 and 2.821 values between 2.82 and 2.971 values between 3.74 and 3.89offnegativepositiveoften

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. ochen
  2. (pass
  3. \|
  4. OSH
  5. atitude
  6. listening
  7. pass
  8. history
  9. ầ
  10. .extent

Suppresses

  1. erator
  2. NewProp
  3. RequestId
  4. 一个是
  5. 新颖
  6. 适合自己
  7. RequestMethod
  8. бег
  9. üns
  10. axis