Neuron Explorer

Qwen3-0.6B

'because' and 'that' after a reason

A neuron in layer 9 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 'because' (or 'that') when it introduces a reason, as in 'the reason is because...'. Turning it up or down did not clearly change the writing in a way that matches this.

Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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

    decision affects most of the outcome in this play. “To turn your households’ rancor to pure love.” Now the feuding families eventually stopped but only because Romeo and Juliet died. This was mainly because of the Friar.⏎The Cap

  2. #2 peak

    his own for three hours, and until he got back she was confused about why he didn’t come when she called him.⏎Why would no one be puzzled? Because there’s one he and there’s one she and life is pronominally simple

  3. #3 peak

    of a ‘slowing’ of the metabolism is that older people burn fewer calories on average per kilo of bodyweight than do younger people. But that’s because their lean body mass is less.⏎In a book called Biomarkers, authors William

  4. #4 peak

    pe climates, usually border desert climates. In both climate groups, the temperature change between day and night is considerable. One reason for the wide swings in temperature is that the skies are clear and the air is dry. Clouds would reflect much of

  5. #5 peak

    0 minutes – it’s essentially moving in a straight line. The reason the path is all bendy is because Swift itself is in motion! Swift orbits the Earth, circling us once every

  6. #6 peak

    . At the end of the decade, the median American family had 30% more purchasing power than at the beginning. Inflation was minimal, in part because of Eisenhower’s efforts to balance the federal budget. Unemployment remained low, about

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 person's work is more likely to be in alignment with the career of someone they know. This is a hint to the person with the answer. So, if a person's work is more likely to be in alignment with the career of

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

    (in the United States) 911 immediately. Always seek the advice of your doctor before starting or changing treatment. Medical professionals who provide responses to health-related

  2. #2 peak

    The EPA conducted tests and found that architectural coatings were a large contributing factor to this sort of damage, and that it was therefore essential to limit the amount of emissions from this source.⏎VOC regulations also strive to protect the water

  3. #3 peak

    quotes above come from a June 2016 piece he penned on LinkedIn, which ended “

  4. #4 peak

    which could negate the effects of gravity. However, as sometimes happens in the Toobworld Dynamic, its use in the 2010 TV movie based on that novel was not its first mention in the TV Universe.⏎By the 2

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. L8:2299 excites
  2. L6:2754 excites
  3. L4:1787 suppresses
  4. L6:2143 excites
  5. L3:878 excites 'of' after 'Because'
  6. L7:989 suppresses
  7. L6:2134 excites
  8. L6:1883 suppresses
  9. L6:2119 suppresses
  10. L6:701 suppresses
  11. L6:1129 excites
  12. L6:2303 suppresses
  13. L6:2235 weakly excites
  14. L6:1313 weakly suppresses
  15. L4:1013 weakly suppresses
  16. L1:2745 weakly suppresses
  17. L0:2563 weakly suppresses
  18. L6:275 weakly excites
  19. L6:523 weakly excites
  20. L5:1729 weakly excites
  21. L4:2834 weakly excites
  22. L7:530 weakly suppresses
  23. L8:984 weakly excites
  24. L8:2564 weakly excites

Feeds later layers

  1. L15:1987 excites
  2. L12:1137 excites
  3. L11:1569 suppresses
  4. L18:2841 excites
  5. L12:1522 excites comma after a 'before...' clause
  6. L10:1904 suppresses
  7. L12:2402 excites
  8. L14:1478 excites
  9. L13:481 excites 'because' introducing a reason
  10. L16:1287 weakly suppresses
  11. L12:2340 weakly excites
  12. L15:2443 weakly excites
  13. L12:1331 weakly suppresses
  14. L10:1344 weakly excites
  15. L24:2492 weakly excites
  16. L19:2707 weakly excites
  17. L18:2646 weakly excites
  18. L16:1913 weakly excites
  19. L11:1986 weakly excites
  20. L15:513 weakly excites
  21. L10:1855 weakly excites
  22. L16:2630 weakly excites
  23. L27:1386 weakly suppresses
  24. L22:1336 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 -0.92 and -0.63136 values between -0.63 and -0.351629 values between -0.35 and -0.061944 values between -0.06 and 0.23132 values between 0.23 and 0.5215 values between 0.52 and 0.8113 values between 0.81 and 1.108 values between 1.10 and 1.3811 values between 1.38 and 1.675 values between 1.67 and 1.961 values between 1.96 and 2.251 values between 2.25 and 2.542 values between 2.54 and 2.832 values between 3.69 and 3.983 values between 3.98 and 4.271 values between 6.86 and 7.151 values between 7.15 and 7.441 values between 9.17 and 9.461 values between 10.32 and 10.61offnegativepositiveoften

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. 病因
  2. -condition
  3. 浏览器
  4. 什么原因
  5. condition
  6. condition
  7. rl
  8. agger
  9. due
  10. 빈

Suppresses

  1. phet
  2. gehören
  3. chia
  4. gehört
  5. hower
  6. ergus
  7. ники
  8. heten
  9. .omg
  10. **)&