Neuron Explorer

Qwen3-0.6B

'of' after a noun phrase

A neuron in layer 3 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 fires on the word "of" when it comes right after a noun and links it to a following noun, like "silhouettes of" or "a relationship of". It is quiet, or pushed the other way, on "of" in the phrase "get hold of". Steering did not give a clear 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

    names and call them by name when participating in class. This helps to build a relationship of trust giving the student one more area of attachment to the class psychologically.⏎The way

  2. #2 peak

    those dealing in, acquiring, buying or borrowing items of cultural property have a duty to:⏎- keep abreast of legal issues;⏎-

  3. #3 peak

    K S M S; Balasubramaniam, V M; Niranjan, K; Knorr, D⏎Consumers increasingly demand convenience foods of

  4. #4 peak

    a polygon or topologically of a mesh. In the context of spatial data and Geographic Information Systems, nodes are usually referred to as points, non-closed connections of edges as lines, and meshes as polygons.⏎- More detailed information for vector data

  5. #5 peak

    Words in Another Language? There are as many ways to learn vocabulary as there are successful language learners throw this there are successful language learners Throw this out to a room of polyglots and watch as they they initiate a battle royale style fight to

  6. #6 peak

    on its histology by investigators. Extraovarian primary peritoneal carcinoma (EOPPC), serous surface papillary carcinoma, papillary serous carcinoma of the peritoneum, extra ovarian Mullerian adenocarcinoma,

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 feel like of the day of, and I'm not sure if I'm going to. It's been a bit of while, and I'm not sure if I'm going to. I'm not sure if I'm going 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

    only be a matter of time before we got hold of a dead animal - because they are hunted - and once we had and we started

  2. #2 peak

    energised and that the actual skin seems better.⏎If you have any inquiries pertaining to where and how to use Shapewear for women, you can get hold of us at our own web-site.⏎One technique to

  3. #3 peak

    or rejected by the college.⏎Get as much feedback as you can. Write for more than one class, and be sure that your classmates know how to get hold of you in the event you have any difficulties with your paper. Always ask for help

  4. #4 peak

    forget the painkillers in your handbag on the floor or on the bedside table!⏎The following video demonstrates how easy it is for a child to get hold of medication or household cleaning products and swallow them:⏎Take our quiz to find out if

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. L0:2726 excites
  2. L0:897 weakly suppresses
  3. L1:725 weakly suppresses "to" in "referred to"
  4. L2:914 weakly excites
  5. L0:2158 weakly suppresses
  6. L2:895 weakly suppresses
  7. L2:2689 weakly suppresses
  8. L1:2733 weakly excites
  9. L0:1 weakly suppresses
  10. L2:2415 weakly suppresses
  11. L2:750 weakly suppresses
  12. L2:1454 weakly suppresses
  13. L0:1220 weakly suppresses
  14. L1:1473 weakly excites
  15. L0:1543 weakly suppresses
  16. L0:2952 weakly excites
  17. L2:2048 weakly excites
  18. L2:1259 weakly suppresses
  19. L1:455 weakly suppresses start-of-document end token
  20. L2:2397 weakly suppresses
  21. L0:1987 weakly suppresses
  22. L1:1122 weakly excites
  23. L1:491 weakly excites
  24. L0:560 weakly suppresses

Feeds later layers

  1. L16:1088 excites 'of' after a noun phrase, as in 'of course'
  2. L17:317 excites 'of' after a noun phrase
  3. L19:715 excites
  4. L9:2264 excites 'of' after superlatives and 'the X of'
  5. L5:363 excites
  6. L11:2207 excites "of" after a noun in trademark and title phrases
  7. L17:1835 excites
  8. L10:469 excites 'of' after a noun phrase
  9. L8:1350 excites
  10. L6:357 excites
  11. L15:785 excites 'of' in set phrases like 'of course'
  12. L15:2988 excites
  13. L22:229 excites "of" after a noun in "X of Y"
  14. L7:790 excites
  15. L8:1003 excites "the" or "of" before a noun phrase
  16. L14:2417 weakly excites
  17. L17:1507 weakly excites
  18. L4:4 weakly excites
  19. L8:349 weakly excites 'of' inside title-like noun phrases
  20. L4:3030 weakly suppresses
  21. L4:501 weakly excites "of" in "in terms of"
  22. L7:2705 weakly excites
  23. L17:1417 weakly excites
  24. L20:1972 weakly excites 'of' in 'of course'

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 -2.04 and -1.811 values between -1.81 and -1.581 values between -1.58 and -1.353 values between -1.11 and -0.881 values between -0.88 and -0.6542 values between -0.65 and -0.42673 values between -0.42 and -0.192636 values between -0.19 and 0.04438 values between 0.04 and 0.2720 values between 0.27 and 0.504 values between 0.50 and 0.733 values between 0.73 and 0.962 values between 0.96 and 1.194 values between 1.19 and 1.427 values between 1.42 and 1.652 values between 1.65 and 1.895 values between 1.89 and 2.125 values between 2.12 and 2.355 values between 2.35 and 2.5811 values between 2.58 and 2.811 values between 2.81 and 3.048 values between 3.04 and 3.274 values between 3.27 and 3.504 values between 3.50 and 3.734 values between 3.73 and 3.962 values between 3.96 and 4.193 values between 4.19 and 4.422 values between 4.42 and 4.652 values between 4.65 and 4.884 values between 5.12 and 5.351 values between 5.35 and 5.583 values between 5.58 and 5.811 values between 5.81 and 6.043 values between 6.04 and 6.272 values between 6.96 and 7.19offnegativepositiveoften

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. empowerment
  3. Great
  4. awesome
  5. erta
  6. great
  7. course
  8. Great
  9. ós
  10. //!

Suppresses

  1. -driver
  2. ktör
  3. �
  4. bler
  5. 为了
  6. -divider
  7. isser
  8. eos
  9. pour
  10. �