Neuron Explorer

Qwen3-0.6B

the word 'a' after play or places

A neuron in layer 3 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 'a' when it follows a verb like 'play' or 'places' and comes before a phrase like 'a crucial role' or 'a heavy burden'. Its strongest negative cases are 'a' after 'parts of' or 'elements of' in questions. Turning it up didn't change the text in a way that matched 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

    human actions. But did you know that the production of meat and other animal products, in particular, places a heavy burden on the environment in a number of ways1?⏎1) Cut Your

  2. #2 peak

    , Number 2 publication, refers to the second issue of its 25th-year publication.⏎The role and importance of academic journals⏎Academic journals play a pioneering role in research and academia. They provide a platform for academic researchers to share

  3. #3 peak

    not to say that there’s no incentive to punish offending players. Some symbolic punishment is likely necessary as part of the process of restorative justice. There is also a body of research demonstrating the importance of punishment in the context of “just deserts

  4. #4 peak

    Pigment Granules⏎Have you ever wondered what makes up the structure of your hair? The intricate anatomy of our hair strands comprises several distinct components, each playing a unique role in the appearance and health of our hair. In this article, we

  5. #5 peak

    number of nodes as |V| (or the cardinality of V).⏎Paths and cycles will play a large role in our graph algorithms. A path is some sequence of edges that allows

  6. #6 peak

    and efficient lighting, and an explanation of important energy engineering terms and concepts. This new edition adds a new in- depth chapter on the battery. Batteries play a crucial role in our phones, computers, watches, light sources, kitchen appliances,

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: the first step, and I would have the opportunity to the top floor of the House of the Mire. So if you could not have the opportunity to the top floor, then the first step is not the end. If you could not

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

    valuable body and mechanical components behind it. It is designed to be a sacrificial part and must be replaced if damaged in a collision.⏎What are the parts of a bumper?⏎More videos on YouTube⏎- Bumper / Energy Absorber /

  2. #2 peak

    ?⏎- What are the 3 elements of a folktale?⏎- What is the purpose of folk tales?⏎- What does

  3. #3 peak

    / Romantic Tales.Tales of the Stupid Ogre.Jokes and Anecdotes, Formula Tales, Unclassified Tales.⏎What are the 3 elements of a folktale?⏎Story ElementsCharacters are flat.Usually very good or very bad

  4. #4 peak

    of recycled glass goes:⏎A. South for the winter⏎B. Back into new bottles and jars⏎C. Roadway sub-base⏎The primary ingredients of a glass container:⏎A. Ceramics, rocks, and metal caps⏎B.

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. L1:1062 weakly suppresses
  2. L2:1960 weakly excites word endings in health and biology compounds
  3. L2:70 weakly excites
  4. L2:874 weakly excites
  5. L0:988 weakly excites
  6. L0:2657 weakly suppresses
  7. L1:325 weakly excites
  8. L1:23 weakly suppresses
  9. L1:2457 weakly excites
  10. L0:2688 weakly excites
  11. L1:1389 weakly suppresses
  12. L1:555 weakly suppresses
  13. L0:2831 weakly excites
  14. L1:2727 weakly suppresses
  15. L2:2242 weakly suppresses
  16. L2:1657 weakly excites
  17. L1:518 weakly excites
  18. L2:1443 weakly suppresses
  19. L1:1037 weakly suppresses
  20. L0:1649 weakly excites
  21. L0:428 weakly suppresses
  22. L1:2197 weakly suppresses
  23. L1:2875 weakly excites
  24. L0:1564 weakly suppresses

Feeds later layers

  1. L13:2976 weakly suppresses
  2. L5:991 weakly suppresses
  3. L8:112 weakly suppresses
  4. L17:2035 weakly suppresses
  5. L17:1862 weakly suppresses
  6. L15:610 weakly excites
  7. L10:1959 weakly excites
  8. L16:2809 weakly suppresses
  9. L18:2849 weakly suppresses
  10. L9:291 weakly excites
  11. L18:703 weakly suppresses
  12. L11:848 weakly excites
  13. L15:1951 weakly suppresses
  14. L4:505 weakly suppresses
  15. L18:2904 weakly suppresses
  16. L8:191 weakly excites
  17. L11:937 weakly excites
  18. L8:1368 weakly excites
  19. L24:2334 weakly suppresses
  20. L7:2840 weakly excites
  21. L11:1960 weakly excites
  22. L13:2639 weakly suppresses
  23. L16:1546 weakly excites unclear: repeated or split word pieces
  24. L11:2126 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 -4.51 and -4.331 values between -3.80 and -3.632 values between -3.27 and -3.102 values between -2.57 and -2.391 values between -2.21 and -2.042 values between -2.04 and -1.862 values between -1.86 and -1.681 values between -1.68 and -1.517 values between -1.51 and -1.336 values between -1.33 and -1.154 values between -1.15 and -0.988 values between -0.98 and -0.809 values between -0.80 and -0.6221 values between -0.62 and -0.4599 values between -0.45 and -0.27597 values between -0.27 and -0.092395 values between -0.09 and 0.08638 values between 0.08 and 0.2674 values between 0.26 and 0.4416 values between 0.44 and 0.6111 values between 0.61 and 0.795 values between 0.79 and 0.972 values between 1.14 and 1.322 values between 1.50 and 1.671 values between 1.85 and 2.031 values between 2.38 and 2.56offnegativepositiveoften

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. �能
  2. ++];⏎
  3. erca
  4. كن
  5. ]--;⏎
  6. embro
  7. �
  8. arti
  9. ypes
  10. cker

Suppresses

  1. igest
  2. liệt
  3. iversity
  4. ạm
  5. illustrator
  6. ylie
  7. hindsight
  8. Bris
  9. advertisers
  10. school