Neuron Explorer

Qwen3-0.6B

'on' before time or track

A neuron in layer 2 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 lights up on the word after 'on' in phrases about being on schedule or on track, such as 'on time' and 'on track'. Its strongest negative hits are in the middle of longer medical or religious words. Turning it up did not change the writing in a clear way.

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

    - Optimisation of their PTI experience⏎- Increases driver’s experience and goes some way to reduce stress and pressure.⏎- Assists the driver to maintain on-time services by reducing passenger boarding dwell time, further helping to reduce safety related incidents.⏎

  2. #2 peak

    West, but across the continent.⏎We know that statements<|endoftext|>Cataracts are, unfortunately, one of the most common eye problems in pets. They are opacities in the lens of the eye and can affect any age, species, or

  3. #3 peak

    8.6 years for boys and 7.8 years for girls.⏎Nationally, based on the most recent year of data, the target is not on track to be met.⏎Target data specifications⏎Aboriginal and Torres Strait Islander people

  4. #4 peak

    and sectors were “on track” with the IEA’s Sustainable Development Scenario, which maps out a pathway to

  5. #5 peak

    ing on time⏎2. Good germination in mid-August⏎3. A frost protection plan⏎Planting on time⏎Planting your desired crop on time consists of knowing the variety’s “days to maturity.” The days to maturity indicate

  6. #6 peak

    five ways to prevent summer learning loss and help your student retain information to help them succeed when the new school year begins.⏎1. Create a routine to stay on track.⏎Most students receive summer work from their teachers

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 want to be a better person, I want to be a better person. So I want to be a better person. So I want to be a better person. So I want to be a better person. So I want to be

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

    are marketed for commercial use. They possess a strength variation because industrial components would just require a strong formula so as to keep the components together. However, home epoxies utilize still and strong formula to keep the stuff together and you can also visit

  2. #2 peak

    webpage:⏎Protestants should not hesitate to read / study the list contained in the site above. While I was raised thinking that Jesus did not quote the Apocrypha, I was startled several years ago when I found, not direct quotes

  3. #3 peak

    species into the skin.⏎Common diagnoses treated with iontophoresis include plantar fasciitis, bursitis, lateral and medial epicondylitis (commonly referred to as tennis elbow and golfer's elbow

  4. #4 peak

    : Resurrection.⏎I came to identify this concept as Maccabean. Book Two of the Books of the Maccabees–found in the Apocrypha and online–chronicles the Jewish war against the Antiochus

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. L0:1224 weakly suppresses
  2. L1:1464 weakly excites
  3. L0:1301 weakly suppresses
  4. L0:178 weakly suppresses
  5. L0:1433 weakly excites
  6. L0:1285 weakly suppresses
  7. L1:1735 weakly excites
  8. L0:3033 weakly suppresses
  9. L0:2421 weakly excites
  10. L0:2679 weakly excites
  11. L1:2743 weakly excites
  12. L1:1960 weakly excites
  13. L1:1430 weakly excites
  14. L1:30 weakly excites
  15. L1:1674 weakly excites
  16. L1:2759 weakly excites
  17. L1:1205 weakly suppresses
  18. L0:2232 weakly suppresses
  19. L1:2806 weakly excites
  20. L0:1152 weakly suppresses
  21. L1:35 weakly excites
  22. L0:1928 weakly excites
  23. L1:340 weakly suppresses
  24. L1:2801 weakly excites

Feeds later layers

  1. L13:1592 weakly excites
  2. L8:2551 weakly excites
  3. L7:2713 weakly excites
  4. L4:2277 weakly excites
  5. L10:2135 weakly excites
  6. L4:1557 weakly suppresses
  7. L11:2753 weakly excites
  8. L9:727 weakly excites
  9. L5:342 weakly suppresses line breaks inside wrapped sentences
  10. L10:2883 weakly excites
  11. L12:168 weakly excites
  12. L9:198 weakly excites
  13. L15:348 weakly suppresses
  14. L20:1367 weakly excites
  15. L13:1639 weakly suppresses
  16. L8:2397 weakly excites
  17. L5:2302 weakly suppresses
  18. L6:2381 weakly excites
  19. L14:2990 weakly suppresses
  20. L11:2517 weakly suppresses
  21. L20:2727 weakly suppresses
  22. L10:2701 weakly excites
  23. L9:1284 weakly excites
  24. L4:1003 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 -0.85 and -0.763 values between -0.67 and -0.593 values between -0.59 and -0.505 values between -0.50 and -0.424 values between -0.42 and -0.3330 values between -0.33 and -0.25139 values between -0.25 and -0.16512 values between -0.16 and -0.071518 values between -0.07 and 0.011289 values between 0.01 and 0.10310 values between 0.10 and 0.1966 values between 0.19 and 0.2715 values between 0.27 and 0.365 values between 0.36 and 0.441 values between 0.44 and 0.531 values between 0.53 and 0.611 values between 0.61 and 0.701 values between 0.70 and 0.791 values between 0.79 and 0.871 values between 1.13 and 1.221 values between 2.50 and 2.59offnegativepositiveoften

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. /Math
  2. Disclosure
  3. bins
  4. .styleable
  5. 醪
  6. nement
  7. öğretim
  8. blender
  9. présence
  10. RAND

Suppresses

  1. antar
  2. *
  3. anic
  4. lica
  5. https
  6. okin
  7. .createdAt
  8. http
  9. ointed
  10. pire