Neuron Explorer

Qwen3-0.6B

'students' in teaching text

A neuron in layer 11 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 lights up on the word "students" in lesson plans and classroom text, such as "your students will practice". When it was turned up, the model's replies drifted away from the prompt into unrelated content, so the steering did not reveal a clear effect.

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

    or at email@example.com.<|endoftext|>Table of Contents :⏎Top Suggestions Senior Kindergarten Writting Worksheet :⏎Senior Kindergarten Writting Worksheet In this worksheet your students will practice their handwriting skills by tracing the

  2. #2 peak

    of Year Math Review is not your typical math printables…this is math review with a twist! A digital version has been added!⏎With this resource, your students will be engaged and having fun all while reviewing what they’ve learned throughout the year

  3. #3 peak

    ⏎Reading comprehension, activities, and an approach to writing elements such as narrator/audience, character traits, and foreshadowing, that will help your students go beyond the plot as readers and develop their own writing skills. Includes information on

  4. #4 peak

    the State of the Union Address. In this State of the Union Address lesson plan, students then watch the Address and write letters to the President.⏎4th - 8

  5. #5 peak

    of the United States, from this height and weight to his favorite foods.⏎Grades: PreK–K, 1–2⏎In this lesson, students read about George Washington and discuss the monument built in his honor

  6. #6 peak

    battery determines what you can do with it and how much energy the battery will hold. When you connect an external circuit with two different electric potentials, the current will flow through that circuit because there is a voltage difference.⏎Types of Batteries⏎There

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 know the number of months in a year, and the number of months in March." So, "March 1 January 1, 1961" is 1961, and that's the same,

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

    ants. Read more Composite Fillings.⏎4. Limit sugary and acidic foods or drinks:⏎Sugary and acidic foods and beverages can erode your tooth enamel and cause cavities. Limit your intake of sugary or acidic foods and beverages

  2. #2 peak

    susceptible to later staining when they were coated in a white wine.⏎Acidic foods like tomato sauce, curries, and orange juice can weaken the tooth’s enamel and allow stains to attach. Habitual coffee drinkers, smokers, or users of

  3. #3 peak

    then work their way up your clothing until they find a prime piece of exposed skin. When they find exposed skin they will use their cutting mandibles to cut your skin and insert their feeding tube to feed on your blood; often inserting a small amount

  4. #4 peak

    Drinking a glass of orange juice daily helps you to avoid the discomfort of arthritis. Its anti-inflammatory properties reduce the risk of rheumatoid arthritis.⏎Control blood pressure⏎The most important thing to keep blood pressure from falling is to keep

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. L3:828 weakly suppresses
  2. L8:1723 weakly suppresses
  3. L2:2112 weakly suppresses
  4. L7:2187 weakly excites
  5. L2:414 weakly excites
  6. L3:1225 weakly excites
  7. L9:2023 weakly excites
  8. L9:547 weakly suppresses
  9. L6:969 weakly suppresses
  10. L9:2597 weakly suppresses
  11. L6:735 weakly excites
  12. L7:1359 weakly excites
  13. L7:1813 weakly excites
  14. L9:1391 weakly excites
  15. L2:1935 weakly excites
  16. L7:1039 weakly excites
  17. L4:1833 weakly excites
  18. L1:1887 weakly excites
  19. L3:1259 weakly suppresses
  20. L9:1626 weakly suppresses
  21. L9:958 weakly excites
  22. L9:1864 weakly suppresses
  23. L7:2199 weakly excites
  24. L8:1352 weakly suppresses

Feeds later layers

  1. L14:1760 suppresses
  2. L13:2432 suppresses
  3. L14:724 weakly excites
  4. L20:2759 weakly excites
  5. L13:2804 weakly suppresses
  6. L12:2750 weakly suppresses
  7. L16:2517 weakly excites
  8. L12:1100 weakly suppresses
  9. L14:2392 weakly excites
  10. L12:2994 weakly excites
  11. L12:2471 weakly suppresses
  12. L14:608 weakly suppresses
  13. L16:1940 weakly excites
  14. L15:2692 weakly excites 'to' after a noun, before a purpose verb
  15. L19:3013 weakly excites
  16. L15:768 weakly suppresses
  17. L13:2277 weakly excites
  18. L13:1069 weakly suppresses
  19. L15:2838 weakly suppresses
  20. L18:1848 weakly suppresses
  21. L13:2211 weakly excites
  22. L12:467 weakly excites
  23. L14:2177 weakly excites
  24. L13:2876 weakly excites

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 -2.44 and -2.311 values between -2.18 and -2.051 values between -1.79 and -1.666 values between -1.02 and -0.8910 values between -0.89 and -0.7615 values between -0.76 and -0.6325 values between -0.63 and -0.5148 values between -0.51 and -0.38111 values between -0.38 and -0.25284 values between -0.25 and -0.121759 values between -0.12 and 0.011215 values between 0.01 and 0.14259 values between 0.14 and 0.2779 values between 0.27 and 0.4029 values between 0.40 and 0.5315 values between 0.53 and 0.6516 values between 0.65 and 0.788 values between 0.78 and 0.917 values between 0.91 and 1.046 values between 1.04 and 1.172 values between 1.17 and 1.302 values between 1.30 and 1.434 values between 1.43 and 1.552 values between 1.55 and 1.681 values between 1.68 and 1.811 values between 1.81 and 1.941 values between 2.58 and 2.71offnegativepositiveoften

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. ��이
  2. -notes
  3. �
  4. bearing
  5. 工作的
  6. Exchange
  7. вест
  8. ellow
  9. knowledge
  10. images

Suppresses

  1. 恕
  2. hỏ
  3. desperation
  4. ocket
  5. Home
  6. +N
  7. 闪电
  8. baseUrl
  9. OPS
  10. NSS