Neuron Explorer

Qwen3-0.6B

'the' inside a phrase, mid-sentence

A neuron in layer 19 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 'the' in the middle of a sentence, right before a noun phrase like 'the students' or 'the conversion'. When it was turned down, the model tended to repeat 'the' over and over, and turning it up made the text wander without a clear theme.

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

    and defending their Homeland.⏎The Vice-Rector for Educational Work, Social Development and Public Relations, Alesya Kuznetsova, addressed the students with the words: “80 years ago, on this morning of June 22

  2. #2 peak

    . There are several questions in this exercise. Our subject expert teachers have solved each of these questions in a step by step manner. All these solutions are beneficial for the students of class 10 appearing for the board exams. Students can easily NC

  3. #3 peak

    , worthy of making his acquaintance? Who are the bad ones whom one should avoid until they change their ways?⏎There is a common Chinese saying; A fence needs the support of three stakes, an able fellow needs the help of three other people.

  4. #4 peak

    ads6x98y<|endoftext|>Arabic Numeral 1 in Roman Numerals converter tool is available here. This tool can prove to be very handy in the conversion of Arabic to Roman numerals. The tool basically works on a very simple

  5. #5 peak

    in the household because it has the ability to provide very strong bonds. The epoxy is marketed for use at home and

  6. #6 peak

    important topics related to the chapter are covered in the following exercises.<|endoftext|>What you will learn in this module⏎Understand different tasks that have to be done in the groups⏎Address issues related to overburdening of a leader⏎Emphas

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 one of the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the

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

    Here I am setting my command name with “DOSBox” So I am able to open it using this command name in the run.⏎after typing the name of the command, click on the finish.⏎Step 4: Finishing

  2. #2 peak

    which operates to trip the circuit breaker.⏎Email Based, Online Homework Assignment Help in Classification Of Relays⏎Transtutors is the best place to get answers to all your doubts regarding classification of relays with examples. Transtutors has a vast

  3. #3 peak

    10 Maths Chapter 6 Triangles Exercise 6.5 are given here. There are several questions in this exercise. Our subject expert teachers have solved each of these questions in a step by step manner. All these solutions are beneficial for the

  4. #4 peak

    5 times the length of the head; they are located almost on the upper profile of the head. Mouth large, oblique, not protruding. The tip of the upper jaw is set behind a vertical line passing through the posterior edge of 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. L18:476 excites
  2. L18:755 suppresses
  3. L18:646 suppresses
  4. L10:556 excites
  5. L18:1225 excites
  6. L18:804 suppresses
  7. L18:1231 excites
  8. L17:6 excites
  9. L17:947 excites
  10. L17:714 weakly suppresses
  11. L18:1595 weakly excites
  12. L10:1289 weakly suppresses
  13. L18:177 weakly suppresses
  14. L10:1278 weakly suppresses
  15. L17:56 weakly excites
  16. L4:236 weakly excites
  17. L3:615 weakly suppresses
  18. L3:805 weakly suppresses
  19. L9:812 weakly excites
  20. L16:1652 weakly suppresses
  21. L3:198 weakly suppresses
  22. L17:593 weakly excites
  23. L9:530 weakly suppresses
  24. L2:619 weakly suppresses

Feeds later layers

  1. L27:127 strongly excites
  2. L26:507 strongly suppresses
  3. L27:399 strongly suppresses
  4. L21:863 strongly suppresses
  5. L20:2278 suppresses
  6. L24:49 excites
  7. L20:738 suppresses
  8. L21:758 suppresses
  9. L23:94 excites
  10. L20:375 suppresses
  11. L22:171 suppresses
  12. L24:2538 excites
  13. L27:121 excites
  14. L27:1382 suppresses
  15. L27:2537 excites
  16. L25:1796 suppresses
  17. L26:251 excites
  18. L20:2729 suppresses
  19. L22:103 suppresses
  20. L25:1586 excites
  21. L25:45 weakly suppresses
  22. L27:2084 weakly suppresses
  23. L24:918 weakly excites
  24. L25:2531 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 -8.50 and -8.031 values between -4.75 and -4.282 values between -4.28 and -3.812 values between -3.81 and -3.346 values between -2.87 and -2.403 values between -2.40 and -1.9413 values between -1.94 and -1.4733 values between -1.47 and -1.00200 values between -1.00 and -0.531917 values between -0.53 and -0.061520 values between -0.06 and 0.41115 values between 0.41 and 0.8844 values between 0.88 and 1.3521 values between 1.35 and 1.826 values between 1.82 and 2.2910 values between 2.29 and 2.764 values between 2.76 and 3.222 values between 3.22 and 3.693 values between 3.69 and 4.162 values between 4.16 and 4.631 values between 5.10 and 5.571 values between 7.91 and 8.381 values between 9.79 and 10.26offnegativepositiveoften

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. robe
  2. ื
  3. ictionaries
  4. ismatic
  5. block
  6. iction
  7. arden
  8. st
  9. 也是一个
  10. ẫ

Suppresses

  1. the
  2. the
  3. _the
  4. →the
  5. The
  6. -the
  7. THE
  8. —the
  9. _THE
  10. nThe