Neuron Explorer

Qwen3-0.6B

academic and professional terms, college

A neuron in layer 5 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 responds to words from academic and professional writing, such as 'original' articles, 'professional' education and 'Applied' economics. It turns negative on words like 'college' and 'higher education'. Steering changed the text in ways that were mostly unrelated, with some drift toward students.

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

    such as business, medicine, the sciences, theology, history and humanities, among many others.⏎An academic journal also publishes different research types. Some of these include original articles, reviews, book reviews, case studies, short communications, and so on

  2. #2 peak

    ure.⏎New York licensed podiatrists have also passed comprehensive licensing examinations approved by the State Education Department. In addition, practicing podiatrists must satisfy annual continuing professional education requirements.⏎Podiatrists practice just about anywhere that health services are provided

  3. #3 peak

    Angus Deaton & Olivier Dupriez, 2011.⏎"Purchasing Power Parity Exchange Rates for the Global Poor,"⏎American Economic Journal: Applied Economics,⏎American Economic Association, vol. 3(2), pages 1

  4. #4 peak

    water testing labs can conduct a full-spectrum analysis of your water to determine its contents, there are a few types of contaminants

  5. #5 peak

    to the public.⏎How did the workforce change in the 1950s as a result of the changing economy? White collar workers began to outnumber blue collar workers. What contributed to the rise in life expectancy during the 195

  6. #6 peak

    awarded Caylor a $1.5 million Faculty Early Career Development (CAREER) grant to use laser-based sensors to study how vegetation in the region transports water

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: the following is a small increase in the number of... of the..................... the following is a small increase in the number of... the following is a small increase in the number of... the following is a small increase

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

    of America.” Leaving the specifics up to a teacher or LEA who have only been educated in elementary education is ludicrous. Elementary teachers are taught how to teach in college, they are not taught content knowledge. Therefore, the teachers would need to rely

  2. #2 peak

    comparable learning experience and typically accredited to the higher education institutions.”⏎Mostly when students leave high schools they are choose honor courses over simple

  3. #3 peak

    .⏎Food insecurity has historically and disproportionately affected students of color, older students, former foster youth, parenting students, students who experienced childhood food insecurity, and first-generation college students.⏎A Hope Center study found that among 167,00

  4. #4 peak

    be manifested in only one specific academic area, such as math or foreign language. There might be problems in grade school, none in high school, and again in college.⏎Learning disabilities are not the same as mental retardation or emotional disorders.⏎Common

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. L3:657 excites
  2. L3:1950 excites
  3. L3:880 suppresses
  4. L4:1795 suppresses "at least" phrase
  5. L1:2969 weakly suppresses
  6. L4:2063 weakly suppresses
  7. L2:1098 weakly excites
  8. L3:1155 weakly excites
  9. L4:2689 weakly suppresses
  10. L4:1880 weakly suppresses
  11. L4:3048 weakly excites
  12. L3:2324 weakly suppresses
  13. L3:2936 weakly excites
  14. L4:2299 weakly excites
  15. L2:59 weakly excites
  16. L4:2123 weakly excites
  17. L3:1691 weakly excites
  18. L0:1337 weakly excites
  19. L4:2583 weakly suppresses
  20. L2:3011 weakly excites
  21. L1:2553 weakly suppresses
  22. L4:1946 weakly suppresses
  23. L3:469 weakly suppresses
  24. L2:776 weakly excites

Feeds later layers

  1. L8:730 excites
  2. L21:2811 suppresses
  3. L9:627 suppresses
  4. L23:3004 weakly suppresses
  5. L19:2246 weakly suppresses
  6. L14:1341 weakly excites
  7. L16:1591 weakly suppresses
  8. L11:1426 weakly excites
  9. L17:2284 weakly excites
  10. L7:1957 weakly excites
  11. L15:2515 weakly excites
  12. L6:2307 weakly excites
  13. L14:2749 weakly excites
  14. L20:1008 weakly excites
  15. L6:611 weakly excites
  16. L15:2044 weakly suppresses
  17. L24:1633 weakly excites blank spot before an age number
  18. L14:1284 weakly suppresses
  19. L24:1009 weakly excites
  20. L23:2240 weakly suppresses
  21. L9:1094 weakly excites
  22. L11:2141 weakly excites
  23. L21:1015 weakly suppresses
  24. L20:2443 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.

1 values between -7.80 and -7.561 values between -5.66 and -5.422 values between -1.63 and -1.392 values between -1.39 and -1.151 values between -1.15 and -0.911 values between -0.91 and -0.6810 values between -0.68 and -0.44191 values between -0.44 and -0.202366 values between -0.20 and 0.041257 values between 0.04 and 0.2762 values between 0.27 and 0.5110 values between 0.51 and 0.752 values between 0.75 and 0.991 values between 0.99 and 1.221 values between 1.46 and 1.70offnegativepositiveoften

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. emos
  2. ipse
  3. ente
  4. salt
  5. .readFileSync
  6. ilestone
  7. autos
  8. entes
  9. osc
  10. 钵

Suppresses

  1. рон
  2. уд
  3. .bits
  4. ffe
  5. xFFFF
  6. ��
  7. то
  8. removeFrom
  9. ring
  10. wap