Neuron Explorer

Qwen3-0.6B

unclear: mid-sentence connector words

A neuron in layer 13 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 fires on scattered words in the middle of sentences, such as 'while', 'those' and 'depending', where a clause is still open. Its strongest negative cases are on odd word pieces in lists and names. The pattern is not clear, and turning it up gave rambling, repetitive text.

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

    1563. Pope Paul III, who convoked the Council, oversaw the first eight sessions (1545–47), while the twelfth to sixteenth sessions (1551–52)

  2. #2 peak

    backdrop to some of the most significant gatherings in the city’s history, from a Civil Rights rally with Martin Luther King, Jr. at Girard College to the one of the nation’s first LGBTQ protests in front of Independence Hall.⏎↑ Columbia Avenue

  3. #3 peak

    lightning, can be enough to burn out an element. Insert the new element and insert the two front screws to hold the element in place while you return to the back of the stove and make your connections. Once the burners

  4. #4 peak

    brain trauma when administered progesterone compared to those who received placebos. Also, those with progesterone were less disabilit

  5. #5 peak

    a maximum of five hours of instruction per week. Secondary school students who qualify for homebound instruction are eligible to receive a maximum of ten hours of instruction per week depending on their academic load. If appropriate to the needs of the child, the number

  6. #6 peak

    colds and flu, such as fever, headaches, chills and sore throat. White chrysanthemum's most common use is visual acuity; the flowers are often taken with other herbs to treat red, swollen eyes and blurred vision

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 person with a person with a person with a person with a person with a person with a person with a person with a person with a person with a person with a person with a person with a person with a person with a person with

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

    for college-level introductory astronomy faculty and students. Astronomy Center is sponsored by the American Astronomical Society, the American Association of Physics Teachers, and the NSF-NSDL.⏎Science.gov searches over 60 databases and over 220

  2. #2 peak

    for example, may be harvested at several sizes or stages of development, depending upon market needs. Fruit that are too developed are of interior internal quality and show undesirable color change after harvest. This also applies to other immature fruit

  3. #3 peak

    a Gender Context Part 13 Peacekeeping Operations, International Intervention and Gender-Just Peacemaking and Peacebuilding Chapter 14 The Post-Conflict Postscript: Gender and Policing in Peace Operations Chapter 15 The Guatem

  4. #4 peak

    recognition of ladies’s work exterior of the home. Women shifted public debates over their right to work and mobilized around the problems with maternity leave, equal pay for equal work, and respect for seniority. Across the workforce, women fought for the

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. L11:839 suppresses
  2. L11:183 excites
  3. L11:1069 excites
  4. L10:2410 suppresses
  5. L10:338 weakly excites
  6. L8:161 weakly suppresses
  7. L0:1100 weakly excites
  8. L12:1895 weakly excites
  9. L2:1198 weakly suppresses
  10. L10:1024 weakly excites
  11. L12:2142 weakly suppresses
  12. L11:2219 weakly excites
  13. L11:677 weakly excites
  14. L8:1445 weakly suppresses
  15. L6:232 weakly excites
  16. L11:31 weakly suppresses
  17. L8:82 weakly excites
  18. L10:1185 weakly excites
  19. L7:543 weakly excites
  20. L12:805 weakly excites
  21. L5:200 weakly excites
  22. L6:1006 weakly excites
  23. L8:515 weakly suppresses
  24. L8:604 weakly excites

Feeds later layers

  1. L14:2096 suppresses
  2. L14:1613 excites
  3. L15:1410 excites
  4. L15:3060 excites
  5. L14:1250 suppresses
  6. L14:553 excites
  7. L14:1485 excites
  8. L16:1457 excites
  9. L14:2459 excites
  10. L14:2784 excites
  11. L16:1873 weakly excites
  12. L15:2373 weakly excites
  13. L14:325 weakly excites
  14. L19:2673 weakly excites
  15. L22:935 weakly excites
  16. L18:1570 weakly excites
  17. L14:2823 weakly excites
  18. L15:715 weakly excites
  19. L17:1253 weakly suppresses
  20. L14:931 weakly suppresses
  21. L14:1688 weakly excites
  22. L14:2542 weakly excites
  23. L17:1867 weakly excites
  24. L15:1718 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.

6 values between -2.32 and -2.212 values between -2.21 and -2.102 values between -2.10 and -1.995 values between -1.99 and -1.897 values between -1.89 and -1.786 values between -1.78 and -1.6712 values between -1.67 and -1.569 values between -1.56 and -1.4511 values between -1.45 and -1.3412 values between -1.34 and -1.2328 values between -1.23 and -1.1242 values between -1.12 and -1.0145 values between -1.01 and -0.9079 values between -0.90 and -0.80112 values between -0.80 and -0.69133 values between -0.69 and -0.58174 values between -0.58 and -0.47205 values between -0.47 and -0.36336 values between -0.36 and -0.25439 values between -0.25 and -0.14619 values between -0.14 and -0.03871 values between -0.03 and 0.08310 values between 0.08 and 0.19169 values between 0.19 and 0.2984 values between 0.29 and 0.4064 values between 0.40 and 0.5150 values between 0.51 and 0.6234 values between 0.62 and 0.7316 values between 0.73 and 0.8411 values between 0.84 and 0.956 values between 0.95 and 1.062 values between 1.06 and 1.173 values between 1.17 and 1.281 values between 1.28 and 1.382 values between 1.38 and 1.491 values between 1.93 and 2.04offnegativepositiveoften

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. AVOR
  2. 阁
  3. 好事
  4. 党的领导
  5. 號
  6. essaging
  7. .NaN
  8. Sa
  9. 号
  10. 疗法

Suppresses

  1. appar
  2. alk
  3. �回
  4. &w
  5. 钞
  6. density
  7. răng
  8. 杨
  9. densities
  10. _epi