Neuron Explorer

Qwen3-0.6B

unclear: answer labels and closing quotes

A neuron in layer 26 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

This neuron is unclear. It fires on things like '(a' at the start of answer options and the number 2 in a formula, and it seems tied to what comes next in a list or quote. Turning it up gave a mix of unrelated text, so the pattern is not clear.

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

    10 log10(MAX/(MSE)^(1/2))^2 = 20 log10(MAX/(MSE)^(1/2)). Therefore, PSNR = <|endoftext|>In my current position as a veterinarian working

  2. #2 peak

    (usually Thomas of Cana) with the Thomas; but it is undeniable that the Nasrani or

  3. #3 peak

    Express MSE mathematically from the description in Step 1. We therefore have MSE = 1/mn [?? (I(i,j) - K(i,j))^2] where I and K are matrices that represent the images being compared.

  4. #4 peak

    illuminating being the incandescent electric bulb, the phonograph and the motion-picture projector. Who was he?⏎- Match the following with their inventors:⏎(a

  5. #5 peak

    invent in 1800?⏎- What was invented solely for the use of King Louis XIV of France?⏎- Who invented these articles of everyday use:⏎(a) Safety razor⏎(b) Ironing board⏎(c) Friction Matches⏎

  6. #6 peak

    .⏎Printer’s Ink — 1718⏎Ben sold 830 newspapers. His brother James sold 177 fewer newspapers than Ben.⏎(a) How many newspapers did James sell?⏎(b) How many newspapers did they sell

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: according to traditional national tradition traditional national tradition traditional national tradition traditional national tradition traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional traditional

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

    providing the assurances ("how did we get here?") that led to action (including the action itself) while the introducer chain ("where do we go from here?") provides the assurances both for a continuation of that action and for other actions

  2. #2 peak

    320 ft (6,194 m) Mount McKinley or Denali (its Koyukon Athabaskan name meaning “The Great One”). The majestic mountain, which has extremely cold weather with temperatures as low as -

  3. #3 peak

    business outcomes are too coarse-grained to be used to directly write software (where do you start coding when the outcome is “save 5% of my operating costs”?) so we need to define requirements at some intermediate level in order to get

  4. #4 peak

    an ex-partner⏎Many other respondents were also doing things which may prevent them from building up a good credit history: for example, one in ten (11

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. L22:183 strongly suppresses
  2. L24:102 strongly excites
  3. L25:204 strongly suppresses
  4. L24:336 strongly excites
  5. L20:104 strongly excites
  6. L24:590 strongly excites
  7. L24:68 strongly excites
  8. L20:335 suppresses
  9. L17:336 excites
  10. L11:50 excites
  11. L21:485 suppresses
  12. L24:114 excites
  13. L23:156 excites
  14. L24:1142 suppresses
  15. L7:100 suppresses
  16. L20:892 suppresses
  17. L14:2454 excites
  18. L21:1153 excites
  19. L20:2391 excites
  20. L14:238 suppresses
  21. L18:1059 suppresses
  22. L20:692 weakly suppresses
  23. L10:66 weakly suppresses opening parenthesis after a citation or term
  24. L24:25 weakly suppresses

Feeds later layers

  1. L27:1589 strongly excites
  2. L27:197 strongly excites
  3. L27:819 strongly excites
  4. L27:882 excites
  5. L27:1474 suppresses
  6. L27:1399 suppresses
  7. L27:2592 weakly suppresses
  8. L27:1107 weakly excites
  9. L27:587 weakly excites
  10. L27:114 weakly excites
  11. L27:793 weakly excites
  12. L27:608 weakly excites
  13. L27:1793 weakly suppresses
  14. L27:1429 weakly excites
  15. L27:637 weakly suppresses
  16. L27:1239 weakly suppresses
  17. L27:1463 weakly excites
  18. L27:1821 weakly excites
  19. L27:72 weakly suppresses
  20. L27:1536 weakly excites
  21. L27:2478 weakly suppresses
  22. L27:502 weakly excites
  23. L27:252 weakly excites
  24. L27:1458 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 -14.53 and -13.561 values between -9.67 and -8.701 values between -8.70 and -7.731 values between -7.73 and -6.762 values between -5.78 and -4.814 values between -4.81 and -3.844 values between -3.84 and -2.877 values between -2.87 and -1.9043 values between -1.90 and -0.933420 values between -0.93 and 0.05306 values between 0.05 and 1.0233 values between 1.02 and 1.9924 values between 1.99 and 2.9611 values between 2.96 and 3.9310 values between 3.93 and 4.917 values between 4.91 and 5.8810 values between 5.88 and 6.856 values between 6.85 and 7.824 values between 7.82 and 8.792 values between 8.79 and 9.771 values between 9.77 and 10.745 values between 10.74 and 11.712 values between 11.71 and 12.681 values between 12.68 and 13.652 values between 23.37 and 24.34offnegativepositiveoften

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. ”)
  2. **)
  3. )。
  4. "):⏎
  5. ")
  6. `)
  7. .")
  8. '):⏎
  9. ").⏎⏎
  10. ").⏎

Suppresses

  1. "⏎⏎⏎
  2. ";//
  3. Originally
  4. '⏎⏎
  5. '⏎⏎⏎
  6. "⏎⏎
  7. ";⏎
  8. "⏎
  9. ";
  10. "⏎⏎⏎⏎