Neuron Explorer

Qwen3-0.6B

'of' after 'one' (one of)

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 lights up on the word 'of' when it follows 'one', as in 'one of our representatives' or 'one of the following'. Turning it up made the model's text wander into repeated phrases about meanings and questions, which does not clearly match the pattern.

Written by Claude from this neuron's activations and steering outputs. Confidence: medium. Think it is wrong? Flag it (opens an email to the maker with the neuron already filled in).

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

    , Oct. 14, 6-8 p.m.⏎If you are registered for a quantitative course at UB this semester, you can also attend one of our course preparation reviews or register with our online appointment system to schedule an appointment with

  2. #2 peak

    00 experiments, then it is high probability that the hypothesis has been refuted.⏎If the hypothesis failed in their experiments, repeatedly, the scientist can do one of two things:⏎- He

  3. #3 peak

    accepted.⏎Cookies are always accepted.⏎The browser may also include the possibility of specifying which cookies have to be accepted and not. Specifically, the user can choose one of the following options: reject cookies from certain domains; reject third-party cookies; accept

  4. #4 peak

    all personal information you give us when you place an order online. Remember, if you feel uncomfortable providing any of this information online, please feel free to call one of our representatives at 1-800-WWW-DELL.⏎How

  5. #5 peak

    Terms sections of this tutorial so the user will have a better understanding of scatter diagrams.⏎The user can venture through the tutorial by clicking on the desired topic in one of the menus, or by using the scroll on the right side of the screen to

  6. #6 peak

    its name.⏎After that you are asked if overwriting existing maps in the target location and mapset should be allowed.⏎The next prompt asks you to select one of two windows:⏎Please select one of the following options

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: 2005. The function is given by a function $ f(x) $ with the x-axis of interest and $ f(x) $ with the x-axis of interest, and the x-axis of interest. The function is given

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

    LDS Church. Other buildings were built on the plot, including a tabernacle (prior to the one occupying Temple Square today) and Endowment House, both of which were later torn down. The Salt Lake Tabernacle, home of the

  2. #2 peak

    other words, is⏎where n is an integer.⏎Find the values for the range.⏎Similar to the tangent function, you can define cotangent as⏎Both of these values can be decimals. The range of cotangent also has no restrictions;

  3. #3 peak

    and a shape is a group of coloured cells that are directly or indirectly connected to each other.⏎The diameter of a shape is the greatest distance between any two of its

  4. #4 peak

    Best of all, it looks gorgeous, as well as improving health.⏎Carefully selected varieties of plants remove pollutants including nitrogen dioxide and microscopic particulate matter, both of which are are significant problems in cities in developed and developing countries: UK Government Environmental

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. L3:1673 suppresses
  2. L1:2683 weakly excites
  3. L1:1590 weakly excites
  4. L1:329 weakly excites
  5. L1:1099 weakly excites
  6. L2:467 weakly suppresses
  7. L3:704 weakly suppresses
  8. L3:416 weakly excites
  9. L3:2886 weakly suppresses
  10. L3:675 weakly suppresses
  11. L1:2907 weakly excites
  12. L3:1581 weakly excites "the" after "percent of" or "a lot of"
  13. L3:2034 weakly excites
  14. L3:50 weakly excites
  15. L2:2817 weakly suppresses
  16. L3:691 weakly excites
  17. L3:1375 weakly excites
  18. L1:1674 weakly excites
  19. L2:1919 weakly suppresses
  20. L3:441 weakly excites
  21. L3:122 weakly excites
  22. L2:2806 weakly suppresses
  23. L1:1511 weakly excites
  24. L2:574 weakly suppresses

Feeds later layers

  1. L8:2002 excites
  2. L6:1652 weakly suppresses
  3. L9:1227 weakly excites
  4. L6:746 weakly excites
  5. L8:1475 weakly excites
  6. L14:2734 weakly excites
  7. L8:532 weakly suppresses
  8. L17:2197 weakly excites
  9. L18:2273 weakly suppresses
  10. L16:2457 weakly suppresses
  11. L17:1355 weakly suppresses
  12. L20:1914 weakly excites
  13. L14:48 weakly excites
  14. L5:2179 weakly excites "the" after "one of"
  15. L25:2273 weakly excites
  16. L8:1698 weakly suppresses
  17. L13:1945 weakly excites
  18. L15:2528 weakly suppresses
  19. L8:1858 weakly excites
  20. L19:769 weakly suppresses
  21. L5:1296 weakly suppresses
  22. L21:1430 weakly excites
  23. L10:1393 weakly suppresses
  24. L23:2763 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.

3 values between -1.46 and -1.244 values between -0.79 and -0.5738 values between -0.57 and -0.35743 values between -0.35 and -0.132502 values between -0.13 and 0.09580 values between 0.09 and 0.3122 values between 0.31 and 0.546 values between 0.54 and 0.761 values between 0.76 and 0.981 values between 0.98 and 1.202 values between 1.20 and 1.422 values between 1.42 and 1.642 values between 2.09 and 2.311 values between 2.31 and 2.531 values between 7.18 and 7.40offnegativepositiveoften

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. isch
  2. ius
  3. 一方
  4. joining
  5. join
  6. 或
  7. witch
  8. atom
  9. .alibaba
  10. dir

Suppresses

  1. edException
  2. ulado
  3. culos
  4. cribed
  5. onto
  6. 习惯了
  7. 誊
  8. ington
  9. UpdatedAt
  10. *)((