Neuron Explorer

Qwen3-0.6B

opening parenthesis before acronyms

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 only weakly responds to an opening bracket that comes right before a short name or abbreviation, such as '(ISU)' or '(CDC)', or a citation. It is pushed down by question marks at the end of quiz-style lines. Turning it up or down did not give a clear 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

    criteria as we use for PAA and CAF.⏎Through these three programs each<|endoftext|>发布时间:2017-03-27 来源:新

  2. #2 peak

    State, Miss., has been working with colleagues at the ARS Swine Odor and Manure Management Research Unit in Ames, Iowa, and Iowa State University (ISU) to find ways to supplement animal diets with glycerin. G

  3. #3 peak

    and promoting sustainable economic development.⏎U.S. Assistance to Solomon Islands⏎In Solomon Islands and across the Pacific Islands region, the U.S. Agency for International Development (USAID) supports programs that help communities adapt to the negative impacts of global climate

  4. #4 peak

    graduate school, I wrote my master's thesis on an extension to the hash join. You can view a copy of this thesis on my old school's Web site (http://www.cs.ndsu.nodak.edu/~peasland/paper

  5. #5 peak

    on economic returns for some tropical fruit crops may be found on EDIS (keyword search "marketing") and on the UF/IFAS Tropical Research and Education Center (TREC) Agricultural Economics Extension website (http://agecon.centers.ufl

  6. #6 peak

    cause of extinction (Czech & Krausman 1997), with the native species richness of most taxa being markedly reduced in highly urbanized areas (Tratalos et al. 2007; Grimm et al.

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:my life is a bit likea small,butimportant part ofthe world. I'm trying toget some meaning out from here,soI want toget my own.Obviously,my life is a bit of a dream,my life

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

    The Big Bang teaches<|endoftext|>Fig.1 above refer to a point moving along a circular path. What is the direction of the velocity of the moving point at A?⏎Fig.1 above refer to a point moving along a circular path. What is

  2. #2 peak

    they want (it)?⏎(e) What kind of advertisement do they like?⏎(f) Where do they want (it)?⏎What kind of distribution system do they like? All the relevant information about the consumer is collected and analysed. On the basis of

  3. #3 peak

    Gave the Federal government the right to seize executive power in states that failed to take necessary measures to restore law and order. (Sanctuary cities, Chicago?⏎- Some newspapers were suppressed (sorry, NYT⏎- 130 commun

  4. #4 peak

    with her own guests?⏎Put yourself in the place of the queen if you are female, the place of the king if you are male. How do you feel?⏎Pr<|endoftext|>Atlanta's Best Prostate Cancer Treatments⏎Prostate cancer is one

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. L2:2056 excites
  2. L0:556 weakly suppresses
  3. L3:592 weakly excites
  4. L3:1645 weakly excites
  5. L1:2352 weakly suppresses
  6. L3:2451 weakly suppresses
  7. L3:818 weakly excites
  8. L0:1224 weakly suppresses
  9. L1:547 weakly suppresses
  10. L0:106 weakly excites unclear: 'if' opening a statement, 'local'
  11. L1:2646 weakly excites
  12. L0:2083 weakly excites
  13. L1:2023 weakly excites
  14. L0:178 weakly suppresses
  15. L0:215 weakly excites
  16. L1:2593 weakly excites
  17. L2:111 weakly suppresses
  18. L0:2647 weakly suppresses
  19. L0:488 weakly suppresses
  20. L3:2043 weakly suppresses
  21. L1:810 weakly suppresses
  22. L0:1301 weakly suppresses
  23. L3:751 weakly excites
  24. L3:3016 weakly excites

Feeds later layers

  1. L6:344 strongly suppresses
  2. L14:140 strongly suppresses
  3. L16:1421 strongly suppresses
  4. L19:763 strongly excites
  5. L20:2907 strongly suppresses
  6. L17:15 strongly excites
  7. L19:981 excites
  8. L18:76 suppresses blank spot before a number
  9. L6:42 excites
  10. L22:16 excites comma in dates and birth lines
  11. L16:723 excites
  12. L18:91 suppresses
  13. L16:396 suppresses
  14. L14:309 excites
  15. L5:667 suppresses
  16. L27:33 suppresses
  17. L26:21 excites
  18. L19:509 suppresses
  19. L24:39 suppresses
  20. L20:489 suppresses
  21. L25:30 suppresses
  22. L20:563 suppresses
  23. L24:51 suppresses
  24. L20:59 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 -0.83 and -0.791 values between -0.79 and -0.751 values between -0.53 and -0.494 values between -0.45 and -0.415 values between -0.41 and -0.388 values between -0.38 and -0.3411 values between -0.34 and -0.3011 values between -0.30 and -0.2625 values between -0.26 and -0.2350 values between -0.23 and -0.1982 values between -0.19 and -0.15133 values between -0.15 and -0.11237 values between -0.11 and -0.07427 values between -0.07 and -0.04632 values between -0.04 and 0.00625 values between 0.00 and 0.04524 values between 0.04 and 0.08364 values between 0.08 and 0.11295 values between 0.11 and 0.15181 values between 0.15 and 0.19133 values between 0.19 and 0.2368 values between 0.23 and 0.2638 values between 0.26 and 0.3024 values between 0.30 and 0.346 values between 0.34 and 0.389 values between 0.38 and 0.424 values between 0.42 and 0.453 values between 0.45 and 0.492 values between 0.49 and 0.532 values between 0.53 and 0.572 values between 0.64 and 0.68offnegativepositiveoften

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. en
  2. cushion
  3. �
  4. blue
  5. melted
  6. over
  7. inherited
  8. tmp
  9. XML

Suppresses

  1. ọi
  2. ecc
  3. ağ
  4. larınd
  5. expression
  6. woke
  7. ierz
  8. shaw
  9. erals
  10. ưởng