Neuron Explorer

Qwen3-0.6B

"the" after abstract verbs like allows for

A neuron in layer 22 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 "the" when it comes right after a verb or phrase such as "allows for", "proposes" or "was", where a noun about an action is expected next. Turning it up made the text repeat phrases like "the use of", but the link is loose.

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

    0, 1848, at Seneca Falls, New York. It helped to launch the U.S. campaign for women’s suffrage, or the right to vote.<|endoftext|>Have you ever wondered?⏎- If animals such as gir

  2. #2 peak

    epigenetics platform that will serve as an essential resource for the generation of human reference epigenomes and that will coordinate national efforts in epigenomic research.⏎- Translation of epigenetic research

  3. #3 peak

    reflected light images with spatial resolution of 1 to 3 meters in 128 wavelength bands. This allows for the discrimination of individual species of plants as well as geological and man-made objects, and

  4. #4 peak

    composed of nodes and branches, where each node represents a decision based on a feature or attribute. The tree structure allows for the splitting of data based on features, and the ultimate goal is to find the best

  5. #5 peak

    agent works for the party it interacts with, it<|endoftext|>Case Studies for Fundamentals in Epidemiology⏎The objective of Case Studies for Fundamentals of Epidemiology is the collection of cases to illustrate the principles taught

  6. #6 peak

    , Agroenergy of the Università degli Studi di Milano aims at providing an innovative remuage method which is alternative to available solutions. The study proposes the use of ultrasonic vibration to be induced in the bottles via a direct mechanical coupling

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 would like to and I am and I can and I and I and I and I and I and I and I and I and I and I and and and and and and and and and and and and and and and and and 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

    machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither BioOne nor the owners and publishers of the content make, and they explicitly disclaim, any express

  2. #2 peak

    . ©2015 Walmart. All Rights Reserved.⏎Important Walmart Disclaimer: All content provided is for informational purposes only, and is not intended to substitute for the diagnosis, treatment, or advice of a medical professional. Consult your medical professional for

  3. #3 peak

    professional medical advice. CALL YOUR HEALTHCARE PROVIDER IMMEDIATELY IF YOU THINK YOU MAY HAVE A MEDICAL EMERGENCY. Always seek the advice of your physician or other qualified health provider prior to starting any new treatment or

  4. #4 peak

    this blog is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of qualified health providers with questions you may have regarding medical conditions.<|endoftext|>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. L20:233 excites
  2. L18:1346 suppresses
  3. L19:438 suppresses
  4. L18:2808 suppresses
  5. L18:2678 excites
  6. L21:1287 suppresses
  7. L19:1006 excites
  8. L20:2418 suppresses
  9. L20:2692 excites
  10. L21:615 excites
  11. L19:2264 excites
  12. L20:2267 excites
  13. L16:1851 suppresses
  14. L4:52 excites
  15. L21:1441 excites
  16. L19:2798 excites
  17. L21:536 suppresses
  18. L19:1429 suppresses
  19. L17:30 suppresses
  20. L9:24 excites "the" before a named organisation or title
  21. L19:1769 suppresses
  22. L8:236 excites
  23. L18:1852 suppresses
  24. L19:3044 excites

Feeds later layers

  1. L26:346 strongly excites
  2. L24:480 strongly excites
  3. L27:1199 strongly excites
  4. L27:208 strongly excites
  5. L27:478 strongly excites
  6. L26:501 strongly excites
  7. L25:764 strongly excites
  8. L24:200 suppresses
  9. L24:140 suppresses
  10. L25:1078 excites
  11. L24:635 excites
  12. L25:218 suppresses
  13. L27:1092 excites
  14. L23:566 suppresses
  15. L27:900 suppresses
  16. L25:672 excites
  17. L24:247 suppresses
  18. L26:296 suppresses
  19. L26:2278 excites
  20. L24:156 excites
  21. L23:1486 excites
  22. L27:883 excites
  23. L26:1051 excites
  24. L24:208 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.

2 values between -6.76 and -6.293 values between -6.29 and -5.814 values between -5.81 and -5.346 values between -5.34 and -4.874 values between -4.87 and -4.405 values between -4.40 and -3.9311 values between -3.93 and -3.4610 values between -3.46 and -2.9819 values between -2.98 and -2.5121 values between -2.51 and -2.0438 values between -2.04 and -1.5761 values between -1.57 and -1.10245 values between -1.10 and -0.63764 values between -0.63 and -0.151968 values between -0.15 and 0.32469 values between 0.32 and 0.7977 values between 0.79 and 1.2642 values between 1.26 and 1.7330 values between 1.73 and 2.2023 values between 2.20 and 2.689 values between 2.68 and 3.1522 values between 3.15 and 3.6220 values between 3.62 and 4.0912 values between 4.09 and 4.5611 values between 4.56 and 5.039 values between 5.03 and 5.516 values between 5.51 and 5.982 values between 5.98 and 6.452 values between 6.45 and 6.922 values between 6.92 and 7.392 values between 7.39 and 7.862 values between 7.86 and 8.341 values between 8.34 and 8.811 values between 8.81 and 9.281 values between 9.28 and 9.751 values between 9.75 and 10.223 values between 11.64 and 12.11offnegativepositiveoften

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. creation
  2. completion
  3. identification
  4. removal
  5. determination
  6. formation
  7. assignment
  8. addition
  9. generation
  10. selection

Suppresses

  1. 季
  2. culate
  3. .Apply
  4. wanting
  5. onne
  6. ona
  7. 笑着说
  8. 下来的
  9. 说什么
  10. onica