Neuron Explorer

Qwen3-0.6B

unclear: mixed, Chinese and name fragments

A neuron in layer 25 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 a scattered set of pieces, including a Chinese character, a syllable inside a name, and a word fragment in a plant or holiday name. Turning it down made the model repeat the Chinese character for 'have' over and over.

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

    已发表论文 ⏎“助动词”在汉语中具有较大的作用,使用率高,但是泰国学生经常在学习和使用汉语助动词中产生各种的偏误。本文通过调查法、统计

  2. #2 peak

    the former closely resembles that of the latter told in Târanâtha. Târanâtha states that when Açvaghosha became a sthavira and advocate of the⏎[paragraph continues] Tripitaka, he

  3. #3 peak

    id ul-Azha Day 2||Feast of Sacrifice|⏎|Saturday||September 30||Ashura||10th day of Muharram|⏎|Friday||November 03||Urs of Shah Abdul

  4. #4 peak

    a USDA report. "The pollinators will thank you."⏎Looking for some ideas? Check out these flowering plants that can help give bees a boost.⏎Crocus are a good choice to attract bees in the early spring. They're also

  5. #5 peak

    s and quizzes, 5269 literature essays, 1584 sample college application essays, 204 lesson plans, and ad-free surfing in this premium content, “Members Only” section of the site! Membership includes

  6. #6 peak

    properties, points of interest and hindrances.⏎Glass is certainly the most widely recognized type of packaging waste. Be that as it may, glass holders are oftentimes supplanted with plastic ones, in light of the fact that dissimilar to glass,

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:有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有有

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

    , until 1865. Other well known names were John Pringle, John Hogg, Charles Murray, John Scott, Charles Sheddon and David Greig the elder. But already there were two factors which between them were to kill

  2. #2 peak

    other tragic events the general, underlying message of the decade was one of peace, love and hope.⏎In 1957, Jerry Landis and Tom Grath had a moderate hit with their song “Hey Schoolgirl”. The duo’s

  3. #3 peak

    Indus Valley Civilisation of Harappa and Mohenjo-daro from the Bronze Age. Nowadays, the Thar Desert is

  4. #4 peak

    no epidemic diseases.⏎“No one got the flu, not even the common cold, until about 10,000 years ago,” said Dr. Michael Greger, author of Bird Flu: A Virus of Our Own Hatching.⏎What

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. L5:621 excites
  2. L19:89 excites
  3. L16:3 suppresses
  4. L16:36 excites
  5. L2:761 suppresses
  6. L18:853 suppresses
  7. L1:259 suppresses
  8. L16:83 excites
  9. L23:1408 excites
  10. L5:334 excites
  11. L16:1 excites
  12. L0:2215 suppresses
  13. L20:61 suppresses
  14. L16:110 excites
  15. L20:2984 excites
  16. L2:1091 suppresses
  17. L16:143 excites
  18. L21:1809 excites
  19. L16:493 excites
  20. L20:1852 weakly suppresses
  21. L4:345 weakly excites
  22. L16:0 weakly suppresses
  23. L20:78 weakly suppresses
  24. L0:2090 weakly suppresses

Feeds later layers

  1. L27:756 strongly suppresses
  2. L27:1350 weakly suppresses
  3. L27:1307 weakly excites
  4. L27:809 weakly suppresses
  5. L27:225 weakly suppresses
  6. L27:464 weakly suppresses
  7. L26:550 weakly excites
  8. L26:1776 weakly suppresses
  9. L27:2479 weakly suppresses
  10. L27:2809 weakly suppresses
  11. L27:160 weakly suppresses
  12. L26:1914 weakly suppresses
  13. L27:2419 weakly suppresses
  14. L27:561 weakly suppresses
  15. L26:891 weakly suppresses
  16. L26:751 weakly suppresses
  17. L27:721 weakly suppresses
  18. L27:1596 weakly suppresses
  19. L26:2620 weakly suppresses
  20. L27:710 weakly suppresses
  21. L26:2529 weakly suppresses
  22. L27:185 weakly suppresses
  23. L27:2286 weakly excites
  24. L27:1982 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 -1.39 and -1.313 values between -0.97 and -0.882 values between -0.88 and -0.793 values between -0.79 and -0.715 values between -0.71 and -0.625 values between -0.62 and -0.544 values between -0.54 and -0.457 values between -0.45 and -0.3724 values between -0.37 and -0.2824 values between -0.28 and -0.1956 values between -0.19 and -0.11151 values between -0.11 and -0.022525 values between -0.02 and 0.06568 values between 0.06 and 0.15235 values between 0.15 and 0.23119 values between 0.23 and 0.3270 values between 0.32 and 0.4144 values between 0.41 and 0.4915 values between 0.49 and 0.5818 values between 0.58 and 0.6611 values between 0.66 and 0.757 values between 0.75 and 0.832 values between 0.83 and 0.923 values between 0.92 and 1.011 values between 1.01 and 1.091 values between 1.26 and 1.351 values between 1.61 and 1.691 values between 1.69 and 1.781 values between 1.86 and 1.951 values between 1.95 and 2.03offnegativepositiveoften

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. tó
  2. s
  3. าว
  4. t
  5. in
  6. uo
  7. dict
  8. inant
  9. lec
  10. grips

Suppresses

  1. 有
  2. 有这样的
  3. 有大量的
  4. 有不同的
  5. 有足够的
  6. have
  7. (has
  8. 有能力
  9. 有更多的
  10. Have