Neuron Explorer

Qwen3-0.6B

unclear: word completing a verb phrase

A neuron in layer 9 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

The pattern here is hard to pin down. The neuron fires on words that finish a phrase after a verb, such as 'left out', 'clippings', 'color' or 'nothing', but the examples do not share a clear meaning. Turning it up gave no obvious theme.

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

    foam cools and then is heated again, after which it is left out to cure for a few hours or a few days.⏎- The foam is washed

  2. #2 peak

    lost weight overall.⏎Yoyo dieting may have more serious and long term effects on your immune system as well. Studies have shown that women with prolonged or multiple periods of weight gain and loss were less likely to produce sufficient natural killer cells, or

  3. #3 peak

    and healthy lawn without using harmful synthetic chemicals. You can make simple changes to your lawn care routine, like mowing higher (3”), leaving your grass clippings on the lawn, using organic fertilizers, aerating to reduce soil compaction

  4. #4 peak

    ? what is the exta step mentioned⏎You may wish to ask the question on the associated Discussion page for that⏎article. Hopefully the author of that statement will notice it there. They are⏎almost certainly not here.⏎That said, an

  5. #5 peak

    ms.⏎Many bacterial microbes need to multiply to larger numbers in food in order to cause disease. Under warm and moist conditions, for instance, slightly contaminated food left out overnight can become highly infectious as the germs multiply. Prompt refrigeration or freezing

  6. #6 peak

    over the movement of the submarine. The result? When the audience took control, nothing happened. When they jiggled various controls and pushed various buttons…still nothing. They shouted commands and counter commands to

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: [A] the number of [X] in the sequence, which is a ... ... ... ... . This is the answer for the question. The question is the ... ... ... ... . This is the answer. ... ... ... ... .

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

    <|endoftext|>FROM ISSUE NUMBER 15 ~ SPRING 2013 GO TO TABLE OF CONTENTS⏎The Art of Limited Government⏎In his first inaugural address

  2. #2 peak

    over and up 256 Units (256 units right, 256 units up). Now rotate it 90 degrees. We have now created the beginning and end of the 90 degree pipe.⏎Now, lets

  3. #3 peak

    triangle. A smaller circle touches the larger circle and. . . .⏎X is a moveable point on the hypotenuse, and P and Q are the feet⏎of the perpendiculars from X to the sides of a right angled⏎triangle

  4. #4 peak

    is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher

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. L7:1073 suppresses
  2. L8:248 excites
  3. L7:789 suppresses
  4. L7:2757 suppresses
  5. L6:2032 excites
  6. L8:2307 suppresses
  7. L7:2091 suppresses
  8. L8:1551 excites
  9. L8:1325 excites
  10. L7:570 suppresses
  11. L8:203 excites
  12. L8:246 excites
  13. L6:195 weakly suppresses
  14. L7:1239 weakly suppresses
  15. L6:1559 weakly suppresses
  16. L6:1883 weakly suppresses
  17. L8:890 weakly suppresses
  18. L5:669 weakly suppresses
  19. L8:767 weakly excites
  20. L4:2374 weakly excites mixed: finance terms, strongly negative on systolic
  21. L7:872 weakly suppresses
  22. L8:141 weakly excites
  23. L7:2452 weakly suppresses
  24. L6:1930 weakly suppresses

Feeds later layers

  1. L14:1970 excites
  2. L21:2100 suppresses
  3. L18:1780 excites
  4. L12:1327 excites
  5. L14:1509 suppresses
  6. L18:2844 excites
  7. L15:1961 suppresses
  8. L13:1040 suppresses
  9. L21:1403 suppresses
  10. L13:917 weakly suppresses
  11. L13:626 weakly excites
  12. L14:937 weakly suppresses
  13. L10:2210 weakly suppresses
  14. L13:820 weakly excites comma after an introductory phrase
  15. L14:2771 weakly suppresses
  16. L15:220 weakly suppresses
  17. L12:2968 weakly suppresses
  18. L10:1930 weakly suppresses
  19. L13:1042 weakly excites
  20. L12:1207 weakly excites
  21. L10:2755 weakly suppresses
  22. L14:333 weakly suppresses
  23. L12:1754 weakly excites
  24. L18:2900 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 -0.76 and -0.703 values between -0.70 and -0.631 values between -0.63 and -0.575 values between -0.57 and -0.519 values between -0.51 and -0.4419 values between -0.44 and -0.3834 values between -0.38 and -0.3284 values between -0.32 and -0.26182 values between -0.26 and -0.19310 values between -0.19 and -0.13502 values between -0.13 and -0.07996 values between -0.07 and -0.00912 values between -0.00 and 0.06367 values between 0.06 and 0.12191 values between 0.12 and 0.19114 values between 0.19 and 0.2560 values between 0.25 and 0.3138 values between 0.31 and 0.3821 values between 0.38 and 0.4414 values between 0.44 and 0.5012 values between 0.50 and 0.575 values between 0.57 and 0.638 values between 0.63 and 0.691 values between 0.69 and 0.754 values between 0.75 and 0.824 values between 0.88 and 0.941 values between 0.94 and 1.011 values between 1.01 and 1.071 values between 1.07 and 1.131 values between 1.20 and 1.262 values between 1.32 and 1.381 values between 1.45 and 1.511 values between 1.57 and 1.641 values between 1.64 and 1.701 values between 1.70 and 1.76offnegativepositiveoften

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. legen
  2. anguages
  3. imes
  4. rib
  5. 唿
  6. Languages
  7. imar
  8. 语言
  9. phia
  10. pons

Suppresses

  1. тех
  2. 墙上
  3. -final
  4. 结果
  5. 盛典
  6. 取得了
  7. getResult
  8. OOM
  9. validates
  10. volatile