Neuron Explorer

Qwen3-0.6B

the word 'background'

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 the word 'background', whether it means the back of a picture, a screen colour, or a process running behind the scenes. Its negative side is weaker and points to words about being tired or fatigued. The written output when it was turned up did not clearly follow this theme.

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

    order to gather enough light so that dim, 12th (or even 13th or 14th) magnitude stars are visible in the background, making it possible to determine where the Cassini spacecraft is pointed on the sky

  2. #2 peak

    for students to individualize the map with images, colors, background, and font. As Miles ‘23 noted, this<|endoftext|>The Bill states

  3. #3 peak

    positions with the camera pointing at them from the start. The history then appears clear or with little texture as well as the design appears as a still photo. The background is additionally the sight in the picture since it adds rate of interest or drama.

  4. #4 peak

    is driven by the simple fact that Apache is a hypertext⏎transfer protocol (HTTP) server that runs in the background as a daemon. Because⏎it is a daemon, it must do all the

  5. #5 peak

    and set the contrast up all the way. Adjust brightness however you see fit. The idea is that you want the image to be black blotches on a white background, or vice versa. One will be the ocean, the other the land.

  6. #6 peak

    das Caldeiras - in the foreground, the lava flows, then the cinder cone Pico Pequeno (1995) and in the background, the Pico do Fogo stratovolcano - photo © 2

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 problem of a function is to be found. If a function is oscillating or oscillating, the function is becoming difficult to keep with, it's a periodic function. So, the function is periodic, the function is becoming difficult to

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

    - Faulty brakes⏎- Poor decisions regarding travel in bad weather⏎- Fatigued drivers⏎- Speed-limit violations⏎- Failing to yield⏎- Aggressive

  2. #2 peak

    3_000_027⏎It was beginning to get dark, and the softly falling snow was blanketing the busy New York streets. Tired office workers and shoppers rushed to the waiting horse-drawn streetcars. A driver

  3. #3 peak

    ’s safety.⏎8 Drowning Myths⏎Myth: Good swimmers don’t drown.⏎Reality: Anyone can drown. Even the best swimmers, can tire, drift too far out, get a cramp, suffer an injury, or

  4. #4 peak

    and the world’s heads of state have failed to solve the climate crisis or to shift into a green economy – all while everyone knows that the path we tread will exhaust the world’s food, water and energy. Public opinion strongly favors action; nonetheless

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. L2:126 weakly excites
  2. L3:1062 weakly excites
  3. L2:75 weakly suppresses
  4. L2:70 weakly excites
  5. L3:464 weakly excites
  6. L2:92 weakly excites
  7. L3:691 weakly excites
  8. L3:2385 weakly excites
  9. L3:342 weakly excites
  10. L3:2598 weakly suppresses
  11. L1:2929 weakly excites
  12. L0:1224 weakly suppresses
  13. L2:2888 weakly excites
  14. L2:1742 weakly suppresses
  15. L3:870 weakly suppresses
  16. L1:1464 weakly excites
  17. L0:1301 weakly suppresses
  18. L3:2571 weakly excites
  19. L0:1055 weakly excites
  20. L3:144 weakly excites
  21. L3:2210 weakly excites
  22. L0:252 weakly suppresses
  23. L3:50 weakly excites
  24. L2:1657 weakly excites

Feeds later layers

  1. L5:1027 suppresses
  2. L24:2185 weakly excites
  3. L5:3042 weakly suppresses
  4. L5:55 weakly suppresses
  5. L6:2502 weakly suppresses
  6. L14:2686 weakly excites
  7. L12:2475 weakly excites
  8. L26:2629 weakly excites
  9. L24:1536 weakly excites
  10. L19:630 weakly suppresses
  11. L6:1101 weakly suppresses
  12. L12:2733 weakly excites
  13. L6:2128 weakly excites
  14. L5:2753 weakly suppresses
  15. L18:181 weakly excites
  16. L6:920 weakly suppresses
  17. L9:1843 weakly excites
  18. L5:2340 weakly excites
  19. L18:1844 weakly suppresses
  20. L20:1262 weakly excites
  21. L5:2220 weakly excites
  22. L13:2869 weakly suppresses
  23. L6:2701 weakly suppresses
  24. L12:3067 weakly excites

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 -6.16 and -5.862 values between -1.38 and -1.086 values between -0.78 and -0.48240 values between -0.48 and -0.183111 values between -0.18 and 0.12532 values between 0.12 and 0.4110 values between 0.41 and 0.711 values between 0.71 and 1.011 values between 1.01 and 1.312 values between 2.51 and 2.811 values between 2.81 and 3.101 values between 5.49 and 5.79offnegativepositiveoften

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. -bg
  2. -background
  3. ooth
  4. ;background
  5. 心境
  6. /bg
  7. AVC
  8. :bg
  9. isto
  10. andbox

Suppresses

  1. alle
  2. .tell
  3. oton
  4. 场馆
  5. ore
  6. leur
  7. нер
  8. adders
  9. .failure
  10. 投放