Neuron Explorer

Qwen3-0.6B

garbled text and stray symbols

A neuron in layer 18 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron fires on broken characters left over from text that was saved with the wrong encoding, such as the odd 'â' that stands in for a curly quote. When it was turned up, the model's replies became repetitive and off topic, so the neuron's role is hard to pin down.

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

    . Hildebrand.)⏎Open content licensed under CC BY-NC-SA⏎Given an integer , the exponential sum version of the Gauss sum modulo is defined by⏎and the quadratic residue version is defined by⏎where is the Jacobi symbol, which

  2. #2 peak

    1.4 billion adults worldwide are overweight and at increased risk for type 2 diabetes, heart disease, osteoarthritis, and certain forms of cancer.⏎âIf youâre overweight, losing just 5 to 10 percent of

  3. #3 peak

    Berry said improving ventilation in classrooms has been a key area in recent years, including equipping schools with carbon dioxide sensors to manage air quality during bushfire seasons.⏎âWe have been installing CO

  4. #4 peak

    entitled Disk Partition Alignment Best Practices for SQL Server by Jimmy May and Denny Lee at Microsoft.⏎You have a server with a RAID volume – For the example we will say RAID 1

  5. #5 peak

    of the wavefunction's "evenness" or "oddness". This is how the wavefunction behaves when it is reflected about the point x=0:⏎|Even Parity||Odd Parity|⏎Parity is important in scenarios such as

  6. #6 peak

    !”’)⏎John says “Hello there!”⏎## Use escape sequences to print special characters, tabs, or line breaks Escape sequences start with a backslash ( `` ). Some common escape sequences are: - `n` Newline - Prints a

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: to make a 3D32N3444 (N = 332, 344 +122 = 1922 +122 = 1998, as a

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

    habits, optimization of management of diabetes and cardiovascular diseases, and conducting continuous surveillance to monitor the trends in NCD prevalence, their risk factors, and treatments.⏎Copyright © 2020 The Royal Society for Public Health. Published by Elsevier

  2. #2 peak

    2):57-61 DOI:http://dx.doi.org/10.4314/aas.v15i2.5⏎© 2018 Author. This work is licensed under the Creative Commons Attribution

  3. #3 peak

    objects in the nose.⏎SOURCE: CMAJ (Canadian Medical Association Journal), news release, Oct. 15, 2012⏎Copyright © 20

  4. #4 peak

    affect how well children learn to read, it appears that school resources, student academic ability, and students learning in their mother tongue are some factors for consideration. Copyright © 2014 Society for the Scientific Study of Reading (SSSR).⏎

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. L8:2 weakly excites
  2. L16:1683 weakly excites
  3. L15:524 weakly suppresses
  4. L9:1645 weakly excites
  5. L3:105 weakly excites
  6. L16:2259 weakly suppresses
  7. L7:455 weakly suppresses
  8. L1:1930 weakly excites
  9. L1:1885 weakly suppresses
  10. L4:2937 weakly suppresses
  11. L12:2962 weakly suppresses
  12. L17:82 weakly suppresses
  13. L7:209 weakly excites
  14. L0:1025 weakly excites
  15. L0:1201 weakly excites
  16. L13:1504 weakly suppresses
  17. L15:979 weakly suppresses
  18. L1:1842 weakly suppresses
  19. L12:232 weakly suppresses
  20. L14:2622 weakly excites
  21. L10:1354 weakly suppresses
  22. L17:96 weakly suppresses
  23. L15:1851 weakly suppresses 'that' after a noun, 'being' in passives
  24. L9:1096 weakly excites

Feeds later layers

  1. L20:2411 weakly excites
  2. L21:162 weakly excites
  3. L20:2002 weakly suppresses
  4. L21:1515 weakly excites
  5. L27:101 weakly suppresses
  6. L19:1513 weakly excites
  7. L20:486 weakly excites
  8. L19:220 weakly excites question mark ending a web question heading
  9. L22:67 weakly suppresses
  10. L20:2154 weakly suppresses
  11. L19:377 weakly excites
  12. L19:188 weakly excites
  13. L27:2643 weakly excites
  14. L22:1733 weakly excites
  15. L24:1599 weakly excites "of" in "of use/concern/interest" phrases
  16. L20:2022 weakly suppresses
  17. L20:472 weakly excites
  18. L22:1487 weakly excites
  19. L19:1167 weakly excites
  20. L20:396 weakly excites the D in 3D or 2D
  21. L19:696 weakly excites
  22. L20:1887 weakly excites
  23. L24:2480 weakly excites
  24. L24:650 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.

4 values between -2.98 and -2.821 values between -2.65 and -2.481 values between -2.15 and -1.981 values between -1.98 and -1.821 values between -1.82 and -1.651 values between -1.48 and -1.323 values between -1.32 and -1.153 values between -1.15 and -0.9815 values between -0.98 and -0.8216 values between -0.82 and -0.6561 values between -0.65 and -0.48244 values between -0.48 and -0.32616 values between -0.32 and -0.151190 values between -0.15 and 0.02992 values between 0.02 and 0.18461 values between 0.18 and 0.35196 values between 0.35 and 0.5265 values between 0.52 and 0.6819 values between 0.68 and 0.8510 values between 0.85 and 1.023 values between 1.02 and 1.182 values between 1.18 and 1.351 values between 1.35 and 1.521 values between 2.18 and 2.351 values between 3.52 and 3.68offnegativepositiveoften

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. ators
  2. IMAL
  3. Cls
  4. wał
  5. imal
  6. ledo
  7. scription
  8. ixel
  9. �
  10. [at

Suppresses

  1. 公报
  2. contours
  3. elia
  4. jn
  5. blobs
  6. �습니다
  7. alone
  8. -even
  9. dob
  10. retard