Neuron Explorer

Qwen3-0.6B

blank slot before a year or number

A neuron in layer 23 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 empty space just before a year or a count, such as "in 2016" or "over 2,000 bats in 12 countries". It seems to get ready for a number or date to come next. Turning it up made the output fall into bold markdown and repeated letters, which doesn't tell us much about its role.

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

    .⏎Eureka is the largest coastal city between San Francisco and Portland, and the westernmost city of more than 25,000 residents in the 48 contiguous states. It is the regional center for government, health care,

  2. #2 peak

    stronger than heroin and morphine, and other synthetic opioids, killed over 21,000 people in 2016 (Vergano, 2017). The

  3. #3 peak

    higher than those of the national sample for all substance measures except tranquilizers and amphetamines (all P <.05). The greatest discrepancy was observed for 8th grade students: last 30-day substance use RRs were

  4. #4 peak

    be a reservoir for these viruses, but it was not known to what extent.⏎For the study, the researchers tested over 2,000 bats in 12 different countries across Africa, measuring DNA from blood and tissue samples. They

  5. #5 peak

    approach to eating seen in anorexia. (The so-called epigenome, the supporting actor to our genes,<|endoftext|>One day in 1939, a young schoolboy named Jim Eyles was walking along

  6. #6 peak

    . are only 76% of men’s, but the disparity of long-term earnings between men and women is far worse. A study comparing total earnings between 1983 and 1998 showed women averaging just 3

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 number of times we keep thinking about the same thing, and we keep repeating it in our daily life, and we repeat it in our thoughts, and we repeat it in our daily life, and we repeat it in our memories. The

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

    StudyMode.com. Retrieved 05, 2012, from http://www.studymode.com/essays/The-Struggle-For-Power-In-The-994323.html⏎"The Struggle

  2. #2 peak

    report said.<|endoftext|>Determining if a Product is Positive or Negative⏎Recall the following properties of multiplication of signed numbers:⏎(positive)(positive) = positive⏎(positive)(negative) = negative⏎(negative)(negative) = positive⏎

  3. #3 peak

    -scientific scommunities about your work⏎AIMES, in collaboration with the UK, held five Young Scholar’s Network (YSN) workshops. The YSN goal

  4. #4 peak

    particular forestation. Via CO-FOR-IT, we will develop an online platform, empowered by artificial intelligence (AI), computer vision (CV), deep learning (DL) and geospatial analysis, allowing G/C and T/C stakeholders (

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. L20:59 strongly suppresses
  2. L19:1174 strongly excites
  3. L19:1005 strongly excites
  4. L22:14 strongly excites
  5. L21:214 strongly suppresses
  6. L14:140 strongly suppresses
  7. L19:124 strongly suppresses
  8. L16:1421 strongly suppresses
  9. L17:132 strongly excites
  10. L17:15 strongly excites
  11. L22:16 strongly suppresses comma in dates and birth lines
  12. L22:1262 strongly suppresses
  13. L16:723 strongly suppresses
  14. L19:963 strongly excites
  15. L19:430 strongly excites
  16. L21:1184 suppresses
  17. L22:424 excites
  18. L21:418 excites
  19. L22:290 suppresses
  20. L19:2966 suppresses
  21. L18:2497 excites hyphen inside compound words
  22. L18:76 suppresses blank spot before a number
  23. L9:974 suppresses
  24. L16:1044 excites

Feeds later layers

  1. L24:483 excites
  2. L27:561 excites
  3. L27:482 excites
  4. L25:17 excites
  5. L26:459 excites opening bracket before an acronym
  6. L26:352 excites
  7. L27:318 excites opening parenthesis after a name or term
  8. L27:192 excites
  9. L27:337 excites
  10. L27:513 excites
  11. L24:1017 excites
  12. L27:220 excites end-of-text token between documents
  13. L27:344 excites
  14. L26:96 excites
  15. L26:526 excites
  16. L27:431 excites
  17. L27:752 excites
  18. L27:573 excites
  19. L27:514 excites
  20. L24:51 excites
  21. L27:407 excites
  22. L27:68 excites
  23. L27:424 excites hyphen inside a compound word
  24. L24:31 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.

1 values between -4.10 and -3.19153 values between -3.19 and -2.282091 values between -2.28 and -1.37986 values between -1.37 and -0.45277 values between -0.45 and 0.4699 values between 0.46 and 1.3764 values between 1.37 and 2.2835 values between 2.28 and 3.1922 values between 3.19 and 4.1116 values between 4.11 and 5.0210 values between 5.02 and 5.9313 values between 5.93 and 6.849 values between 6.84 and 7.7510 values between 7.75 and 8.6718 values between 8.67 and 9.5811 values between 9.58 and 10.4912 values between 10.49 and 11.409 values between 11.40 and 12.3112 values between 12.31 and 13.2311 values between 13.23 and 14.1411 values between 14.14 and 15.059 values between 15.05 and 15.965 values between 15.96 and 16.874 values between 16.87 and 17.782 values between 17.78 and 18.704 values between 18.70 and 19.613 values between 19.61 and 20.521 values between 21.43 and 22.342 values between 22.34 and 23.264 values between 23.26 and 24.171 values between 24.17 and 25.082 values between 25.08 and 25.991 values between 31.46 and 32.38offnegativepositiveoften

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. IRR
  2. **
  3. łoż
  4. vern
  5. Internet
  6. heck
  7. итесь
  8. ’es
  9. Bring
  10. și

Suppresses

  1. rier
  2. magazine
  3. Magazine
  4. dishwasher
  5. temple
  6. GT
  7. FIL
  8. еры
  9. Fach
  10. propor