Neuron Explorer

Qwen3-0.6B

the digit 0 in dates

A neuron in layer 4 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 lights up on a zero that appears in the day part of a date, such as "November 01" or "June 05," where the number starts with a zero. It is quiet on most other numbers. Turning it up did not give a clear, readable change in the model's output.

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

    See the Discussion Board Guidelines and Rubrics⏎Download Discussion Board Guidelines and Rubrics.⏎Reh, F. J. (2018, November 01). Here Is a Look at the Role and Responsibilities of Today's Manager.

  2. #2 peak

    it can pass in a flash if you don't have a method for attacking it.<|endoftext|>304 North Cardinal St.⏎Dorchester Center, MA 02124⏎When you’re manually operating a boat, the act of

  3. #3 peak

    ⏎July 08, 2009 |<|endoftext|>Computer Science Concentration for Students Mat

  4. #4 peak

    ERS; ENVIRONMENT CLUSTERS; OTHER FACTORS. I. Identification. 1. The Issue The …⏎BONN, Germany (June 05, 2014) – Programs and policies to reduce tropical def

  5. #5 peak

    'd love to try it and maybe you would like to do it too!⏎Winter Olympics | Pocantico Hills School⏎This page was last edited December 02, 2005.⏎e-mail us at:<|endoftext|>Courtesy ESA

  6. #6 peak

    the Gates Foundation’s Measures of Effective Teaching (MET) project outlines the most important findings on research-based evaluation systems.⏎Teacher Evaluation 2.0⏎October 05, 2010⏎Teacher evaluations need serious fixing. Here’s

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 sum of the following is true: "If the sum is true. The statement is true. The statement is true." (A) The correct answer is: "If the sum is true. (B) The correct answer is

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

    graphing. It is an art type of symbolizing any information that may be plotted on a graph in a way that permits the reader to interpret it and draw conclusions from it. There are a couple of ways

  2. #2 peak

    for his narrative by offering a sound that insinuates the struggles of the slaves’ physical labor.⏎For example, the droning

  3. #3 peak

    , and she does not know what he is talking about - "Is the king dead?" she asks. She seems to be totally unaware that Hamlet is insinuating that Claudius has killed his father, and Gertrude's former husband

  4. #4 peak

    of disease on the individual and the family. Some suggestions to the departments of community medicine on organizing family studies are also provided.⏎Conclusion. Availability of a systematic and comprehensive approach would improve students’ understanding of the social

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. L3:651 excites zero in dates inside URLs
  2. L0:208 excites the digit zero inside codes or numbers
  3. L1:1821 weakly excites
  4. L3:106 weakly suppresses
  5. L3:2464 weakly suppresses
  6. L3:897 weakly excites
  7. L3:187 weakly excites
  8. L3:501 weakly suppresses
  9. L3:91 weakly excites
  10. L3:122 weakly excites
  11. L3:160 weakly suppresses
  12. L2:864 weakly excites
  13. L3:5 weakly suppresses
  14. L2:2917 weakly suppresses unclear: 'ardu' and 'axi' word fragments
  15. L3:66 weakly suppresses
  16. L3:133 weakly excites
  17. L3:271 weakly suppresses
  18. L2:3007 weakly suppresses
  19. L2:524 weakly excites
  20. L3:1210 weakly excites
  21. L1:1069 weakly suppresses
  22. L2:2107 weakly excites
  23. L1:2622 weakly suppresses
  24. L3:1488 weakly excites

Feeds later layers

  1. L8:3030 suppresses
  2. L9:1477 suppresses
  3. L12:1933 excites
  4. L10:1257 weakly suppresses
  5. L5:1043 weakly suppresses
  6. L5:95 weakly suppresses
  7. L7:1960 weakly excites
  8. L8:2334 weakly suppresses
  9. L7:1026 weakly excites
  10. L10:1188 weakly suppresses
  11. L21:2612 weakly suppresses
  12. L5:1004 weakly suppresses
  13. L8:2429 weakly suppresses
  14. L12:427 weakly excites
  15. L9:1578 weakly suppresses
  16. L5:2942 weakly excites
  17. L5:1979 weakly suppresses
  18. L11:496 weakly suppresses
  19. L16:2416 weakly suppresses
  20. L7:1925 weakly excites
  21. L23:294 weakly suppresses
  22. L12:2517 weakly suppresses verbs of finding out or thinking
  23. L15:326 weakly excites
  24. L10:2430 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.

1 values between -1.70 and -1.621 values between -1.25 and -1.181 values between -0.81 and -0.741 values between -0.74 and -0.663 values between -0.59 and -0.515 values between -0.51 and -0.447 values between -0.44 and -0.3729 values between -0.37 and -0.2981 values between -0.29 and -0.22229 values between -0.22 and -0.15514 values between -0.15 and -0.071077 values between -0.07 and 0.001054 values between 0.00 and 0.08544 values between 0.08 and 0.15244 values between 0.15 and 0.2381 values between 0.23 and 0.3025 values between 0.30 and 0.375 values between 0.37 and 0.451 values between 0.45 and 0.522 values between 0.52 and 0.591 values between 0.59 and 0.671 values between 0.67 and 0.741 values between 1.19 and 1.26offnegativepositiveoften

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. Eff
  2. tan
  3. 教
  4. only
  5. even
  6. probe
  7. nte
  8. '
  9. (entries
  10. entries

Suppresses

  1. 合理的
  2. avourite
  3. losures
  4. @return
  5. AllWindows
  6. -back
  7. oggle
  8. borrow
  9. скоп
  10. ABL