Neuron Explorer

Qwen3-0.6B

unclear: table pipes and markup symbols

A neuron in layer 10 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

It mostly reacts to the vertical bars and slashes used to draw tables and diagrams, plus a few list-like words. The examples have little in common beyond that messy formatting. Turning it up gave repetitive, unrelated text.

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

    , then the node itself, and then its right child.⏎T / \ I S / \ D E<|endoftext|>Original URL: http://www.theregister.co.uk/2

  2. #2 peak

    5 percent⏎|Region||December 2013||December 2012||Percent Change|⏎|Region||December 2013||November 2013||Percent Change|<|endoftext|>In this post, we

  3. #3 peak

    Feast of Sacrifice|⏎|Saturday||September 02||Eid ul-Azha Day 2||Feast of Sacrifice|⏎|Saturday||September 30||Ashura||10th day of Muharr

  4. #4 peak

    the same.⏎- To this day we follow the model that Galileo created.⏎ag = g = 9.81m/s2⏎ag = g = acceleration due to gravity⏎Since gravity is just an acceleration like any other, it

  5. #5 peak

    lookup comes up quite often. In this article we explore 4 methods of how to conduct 2D lookups in Excel.⏎+++NEW+++NEW+++NEW+++ 2D XLOOKUP +++NEW+++NEW+++NEW+++⏎In a

  6. #6 peak

    юсь(⏎Y. Раскройте скобки, употребляя глаголы в Present, Past, Future Indefinite, Present, Past, Future Continuous. 1.When I (to open) the window, it

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: I am a student and I am going to write a report to my teacher, and I hope that you can figure out where I am. to find out the result of the first time, I will use a [your name] to write

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

    "The Struggle for Power in the Ussr" StudyMode.com. 05 2012. 05 2012 <http://www.studymode.com

  2. #2 peak

    Struggle-For-Power-In-The-994323.html>.⏎"The Struggle for Power in the Ussr." StudyMode.com. 0<|endoftext|>Afghanistan and Colombia, half a world apart and different in culture

  3. #3 peak

    of Natural History – Tourist Attractions in New York City⏎American Museum of Natural History⏎American Museum of Natural History⏎The American Museum of Natural History is a landmark on the Upper West Side, Manhattan

  4. #4 peak

    whole current is then transferred to the trip coil which operates to trip the circuit breaker.⏎Email Based, Online Homework Assignment Help in Classification Of Relays⏎Transtutors is the best place to get answers to all your doubts regarding classification of relays

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. L3:238 weakly suppresses
  2. L8:13 weakly suppresses
  3. L9:1658 weakly excites
  4. L7:349 weakly excites
  5. L8:7 weakly excites
  6. L4:234 weakly excites
  7. L8:3 weakly excites
  8. L0:892 weakly excites
  9. L7:49 weakly suppresses
  10. L9:911 weakly excites
  11. L2:1685 weakly suppresses
  12. L5:216 weakly suppresses
  13. L4:3018 weakly excites
  14. L3:202 weakly suppresses
  15. L8:3061 weakly suppresses
  16. L5:1076 weakly suppresses
  17. L2:48 weakly suppresses
  18. L5:1914 weakly suppresses
  19. L1:82 weakly suppresses
  20. L0:2971 weakly suppresses
  21. L5:80 weakly excites
  22. L4:2159 weakly excites
  23. L6:1063 weakly excites
  24. L8:1489 weakly suppresses

Feeds later layers

  1. L17:2956 suppresses
  2. L12:796 weakly excites
  3. L24:763 weakly excites
  4. L16:1081 weakly excites
  5. L14:1741 weakly excites
  6. L13:963 weakly excites
  7. L15:1541 weakly excites
  8. L21:2809 weakly suppresses
  9. L11:2638 weakly excites
  10. L14:607 weakly excites
  11. L22:1240 weakly excites
  12. L13:2668 weakly excites
  13. L18:1507 weakly excites
  14. L12:2024 weakly excites
  15. L14:1376 weakly suppresses
  16. L16:445 weakly excites
  17. L11:1848 weakly suppresses
  18. L12:594 weakly excites
  19. L16:1917 weakly suppresses
  20. L15:434 weakly excites
  21. L24:1896 weakly excites
  22. L17:2536 weakly excites
  23. L11:2849 weakly suppresses
  24. L21:2934 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.

2 values between -0.79 and -0.742 values between -0.74 and -0.702 values between -0.66 and -0.624 values between -0.62 and -0.578 values between -0.57 and -0.539 values between -0.53 and -0.4921 values between -0.49 and -0.4526 values between -0.45 and -0.4046 values between -0.40 and -0.3674 values between -0.36 and -0.32101 values between -0.32 and -0.28103 values between -0.28 and -0.23189 values between -0.23 and -0.19244 values between -0.19 and -0.15291 values between -0.15 and -0.10336 values between -0.10 and -0.06361 values between -0.06 and -0.02391 values between -0.02 and 0.02407 values between 0.02 and 0.07331 values between 0.07 and 0.11244 values between 0.11 and 0.15220 values between 0.15 and 0.19170 values between 0.19 and 0.24108 values between 0.24 and 0.2878 values between 0.28 and 0.3249 values between 0.32 and 0.3623 values between 0.36 and 0.4132 values between 0.41 and 0.4515 values between 0.45 and 0.496 values between 0.49 and 0.544 values between 0.54 and 0.586 values between 0.58 and 0.622 values between 0.62 and 0.661 values between 0.66 and 0.711 values between 0.71 and 0.751 values between 0.88 and 0.92offnegativepositiveoften

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. whel
  2. ieg
  3. coaster
  4. โฮ
  5. 之余
  6. ören
  7. 衷
  8. OTS
  9. 抗衡
  10. .sections

Suppresses

  1. mong
  2. bson
  3. erra
  4. ubar
  5. lump
  6. .sav
  7. unic
  8. vascular
  9. 氓
  10. onView