Neuron Explorer

Qwen3-0.6B

full stops ending sentences

A neuron in layer 18 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 responds to the full stop at the end of a sentence in plain informational writing, such as health, science or how-to text. When it was turned up, the model's text wandered into different subjects and did not show a clear 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

    as difficult to understand. This is compounded by the use of complex definitions and terminology. These complex definitions result from a need to categorise kidney diseases according to the way

  2. #2 peak

    be used to add visual interest to an outfit. When choosing patterns, it is important to consider their scale and how they will work with other elements of your outfit. You can also mix and match patterns for a more eclectic look, but it is

  3. #3 peak

    chances of winning. These scams are based on a misunderstanding of probability and random number generation.⏎In some countries, governments regulate and oversee the operation of lotteries. Some governments outlaw the practice altogether, while others endorse it to some extent and organize

  4. #4 peak

    are often separated from their parents for long periods of time. This can make the bonding process more difficult. Finding ways to help parents and these infants bond better is important for everyone in the

  5. #5 peak

    and break it down into small logical sections. No hydrochloric acid needed! If you still find it daunting, why not

  6. #6 peak

    platform they are targeting, be it iOS or Android, and adapt their coding practices accordingly. They face the challenge of optimizing app performance, ensuring compatibility across multiple devices, 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: this This This This This This This This This This This This This This This This This This This This This This This This

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

    amps⏎On June 26, 1934, President Franklin D. Roosevelt signed the National Firearms Act of 1934 into law. The act placed a tax on the manufacture and transfer of certain firearms, with new

  2. #2 peak

    BY-SA 4.0<|endoftext|>Announcing the Aerial Expedition⏎We are proud to announce The Ocean Cleanup’s next major research mission: the Aerial Expedition. In September and October 2016, we will conduct a series of

  3. #3 peak

    this passage and the surrounding text, the only plausible interpretation of the harm principle is as follows: An individual may do as he pleases, as long as he does not believe that he is causing harm to others. That is Mill’s prescription for

  4. #4 peak

    do this are controlled by special neuron bundles in the spinal cord. It is not quite clear how these central pattern generators know how quickly the legs are to be moved.⏎An international team working with scientists from Harvard University and the Max Planck Institute 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. L17:690 suppresses
  2. L16:2512 suppresses
  3. L17:503 excites
  4. L16:857 excites
  5. L10:478 suppresses
  6. L15:1861 excites
  7. L15:2841 excites
  8. L14:855 suppresses
  9. L13:300 suppresses
  10. L16:943 excites
  11. L17:1948 suppresses
  12. L15:1446 excites
  13. L2:902 suppresses
  14. L15:102 excites
  15. L17:1394 excites
  16. L17:417 suppresses
  17. L5:1653 weakly excites
  18. L12:808 weakly suppresses
  19. L13:997 weakly suppresses
  20. L13:659 weakly suppresses
  21. L14:1591 weakly excites
  22. L15:503 weakly suppresses
  23. L13:883 weakly suppresses
  24. L15:813 weakly excites

Feeds later layers

  1. L21:492 suppresses
  2. L19:1646 suppresses
  3. L19:1124 suppresses
  4. L20:42 weakly excites
  5. L19:1638 weakly excites
  6. L19:2627 weakly excites
  7. L19:1557 weakly suppresses
  8. L24:803 weakly suppresses
  9. L27:498 weakly suppresses
  10. L22:2557 weakly suppresses
  11. L26:405 weakly suppresses
  12. L23:459 weakly excites
  13. L20:101 weakly suppresses
  14. L19:1914 weakly suppresses
  15. L27:528 weakly suppresses
  16. L19:3064 weakly excites
  17. L20:1087 weakly excites
  18. L20:2718 weakly suppresses
  19. L27:59 weakly excites full stops in running text
  20. L19:1597 weakly excites
  21. L19:1546 weakly suppresses
  22. L19:1732 weakly excites
  23. L19:1046 weakly excites
  24. L19:1673 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 -5.63 and -5.301 values between -4.96 and -4.631 values between -3.95 and -3.622 values between -3.62 and -3.282 values between -3.28 and -2.955 values between -2.95 and -2.619 values between -2.61 and -2.2720 values between -2.27 and -1.9429 values between -1.94 and -1.6052 values between -1.60 and -1.2791 values between -1.27 and -0.93144 values between -0.93 and -0.60416 values between -0.60 and -0.261866 values between -0.26 and 0.08682 values between 0.08 and 0.41208 values between 0.41 and 0.75132 values between 0.75 and 1.0865 values between 1.08 and 1.4251 values between 1.42 and 1.7627 values between 1.76 and 2.0928 values between 2.09 and 2.4316 values between 2.43 and 2.7611 values between 2.76 and 3.1011 values between 3.10 and 3.446 values between 3.44 and 3.7711 values between 3.77 and 4.116 values between 4.44 and 4.785 values between 4.78 and 5.112 values between 5.11 and 5.451 values between 5.45 and 5.793 values between 5.79 and 6.121 values between 6.12 and 6.461 values between 6.46 and 6.791 values between 6.79 and 7.131 values between 7.47 and 7.80offnegativepositiveoften

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. 国外
  3. 出国
  4. ","\
  5. RID
  6. ".⏎⏎⏎⏎
  7. 国の
  8. ):\
  9. international
  10. 콩

Suppresses

  1. 这一
  2. this
  3. �权
  4. 这么大
  5. such
  6. 如此
  7. Such
  8. ifications
  9. 此类
  10. 这一点