Neuron Explorer

Qwen3-0.6B

'of' after 'issue' in citations

A neuron in layer 7 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 is weak and fires on the word "of" in citations like "the January issue of Neuropsychology." It only reaches modest strength, so it is a minor detail. Turning it up made the model write unrelated text about studies and plans, so the effect is hard to read.

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

    the word for pheasant.<|endoftext|>North American freshwater fishes are going extinct at an alarming rate compared with other species, according to an article in the September issue of BioScience. The rate of extinctions increased noticeably after 1950

  2. #2 peak

    181 calories in the same amount of time running at a pace of 5 miles per hour. A study in the May 1996 issue of the "Journal of the American Medical Association" also concluded that running on a treadmill

  3. #3 peak

    important behaviors such as remembering to take medicine at a certain time or getting to a doctor’s appointment. The research appears in the January issue of Neuropsychology, which is published by the American Psychological Association.⏎People with this

  4. #4 peak

    according to an article in the January 2006 issue of AGD Impact, the newsmagazine of the Academy of General Dentistry

  5. #5 peak

    ⏎By: Ken Klein, Cosmetech Labs⏎Posted: February 1, 2010, from the February 2010 issue of Cosmetics & Toiletries.⏎Editor’s note: Cosmetics & Toile

  6. #6 peak

    light to 38 miles per hour by shooting a laser through an extremely cold gas of sodium atoms, as reported in the February 1999 issue of Nature.⏎“We have really created an optical medium with crazy, bizarre properties,” said

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 am not a member of the group, and I have been thinking about how to help others. I am not in the group, and I have been thinking about how to help others. I am not in the group, and I have

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

    chance of failing to pass on a beneficial mutation ).⏎As noted elsewhere (see ‘Giving up on reality’), Lenski seemed to have given up on ‘evolution in the

  2. #2 peak

    of the difference between 'wearing' and 'scratching.' Wearing is where the glazed surface

  3. #3 peak

    many coins bear the likeness of Herod the Great?⏎Given that Herod the Great (37–4

  4. #4 peak

    your children and in turn, they will be kind to others. It is a amazing what a good message these gestures will send to them.⏎Teach The Value of Money⏎Yes, kids see you passing these green pieces of paper around, but

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. L6:296 suppresses
  2. L6:1752 excites
  3. L6:1741 excites
  4. L6:108 excites
  5. L6:228 excites comma after a filler word
  6. L6:429 suppresses
  7. L6:1534 suppresses
  8. L6:1031 suppresses
  9. L6:858 excites
  10. L4:16 excites
  11. L6:589 excites
  12. L6:436 excites
  13. L6:1582 suppresses
  14. L5:418 suppresses
  15. L6:325 excites
  16. L6:388 excites
  17. L6:1105 excites 'that' after a finding or surprise verb
  18. L6:1424 excites
  19. L6:592 excites
  20. L4:1891 excites
  21. L6:158 excites
  22. L6:98 suppresses
  23. L6:439 excites
  24. L5:2828 excites

Feeds later layers

  1. L8:59 suppresses
  2. L10:40 suppresses
  3. L9:330 excites gap where a number was removed
  4. L9:459 excites
  5. L9:141 suppresses
  6. L9:14 suppresses
  7. L8:615 excites
  8. L17:352 suppresses
  9. L8:390 excites "a" after sentence-opening "As"
  10. L11:55 weakly suppresses
  11. L9:197 weakly suppresses the blank spot right before a number
  12. L18:63 weakly excites
  13. L9:222 weakly excites
  14. L14:27 weakly suppresses 'says' after a quote
  15. L25:16 weakly suppresses
  16. L18:670 weakly excites
  17. L19:93 weakly suppresses
  18. L10:459 weakly excites
  19. L8:200 weakly excites
  20. L17:935 weakly suppresses
  21. L9:1412 weakly suppresses the word "be" after modals and "to"
  22. L9:316 weakly excites
  23. L9:52 weakly suppresses
  24. L16:745 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.

3 values between -1.30 and -1.211 values between -1.13 and -1.043 values between -1.04 and -0.952 values between -0.95 and -0.872 values between -0.87 and -0.788 values between -0.78 and -0.698 values between -0.69 and -0.6110 values between -0.61 and -0.5218 values between -0.52 and -0.4364 values between -0.43 and -0.35134 values between -0.35 and -0.26228 values between -0.26 and -0.17377 values between -0.17 and -0.09995 values between -0.09 and 0.00996 values between 0.00 and 0.09461 values between 0.09 and 0.17270 values between 0.17 and 0.26128 values between 0.26 and 0.3564 values between 0.35 and 0.4338 values between 0.43 and 0.5221 values between 0.52 and 0.6115 values between 0.61 and 0.6912 values between 0.69 and 0.7813 values between 0.78 and 0.877 values between 0.87 and 0.955 values between 0.95 and 1.048 values between 1.04 and 1.131 values between 1.13 and 1.211 values between 1.21 and 1.301 values between 1.30 and 1.394 values between 1.39 and 1.474 values between 1.47 and 1.561 values between 1.56 and 1.651 values between 1.65 and 1.731 values between 1.73 and 1.821 values between 1.82 and 1.912 values between 2.08 and 2.17offnegativepositiveoften

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. ArgumentNullException
  2. собой
  3. 濠
  4. 了我的
  5. 的风险
  6. 들의
  7. licit
  8. ように
  9. esco
  10. 一道

Suppresses

  1. fibr
  2. ,nonatomic
  3. inea
  4. devour
  5. tones
  6. Table
  7. ibia
  8. frequ
  9. 吸取
  10. ώ