Neuron Explorer

Qwen3-0.6B

'consistency' and 'accuracy' after 'ensure'

A neuron in layer 17 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 lights up on words about being correct, consistent or compliant, such as 'consistency', 'accuracy' and 'compliance', especially right after words like 'ensure' or 'to be'. Turning it up did not produce a clear change in the stories it wrote.

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 if it displays a Phenomena.⏎In order to successfully visually analyze a stone start by using a neutral colored background, a properly lighted environment, and consistency in your procedure. There are a few tools that will aide in this particular process

  2. #2 peak

    , connotations, and associations. The poem becomes deeper and richer instead of falling apart.⏎Thus we must select poems we love for memorization. But to be coherent and stable, every community needs

  3. #3 peak

    less compatible with a certain services category definition. For such reasons, compilers should have in-depth knowledge of the methodologies and definitions used by the other data sources to ensure consistency and the comparability of the resulting merged data. Various dimensions of the different sources

  4. #4 peak

    not follow any official procedure in reporting. In a report there should be a Title, introduction, body of report, and a conclusion.⏎It is important that the consistency of the format be precise using the same paragraph spacing and font style/size throughout

  5. #5 peak

    align with requirements such as HIPAA (Health Insurance Portability and Accountability Act) or GDPR (General Data Protection Regulation). This ensures that your business remains compliant with legal obligations and safeguards customer data.⏎Advanced Threat Detection⏎Cloud providers employ sophisticated

  6. #6 peak

    chanics⏎- Potential for accelerated degeneration of the discs above and below the fused level that can lead to<|endoftext|>About The Charts and Nutrition Facts⏎- For accuracy, the calorie chart and fat chart are based on the biggest serving size available.⏎

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: this is a new kind of thing, or something else, that has been or something else, something that or something else, something that or something else, that or something else, that or something else, that or something else, that or

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

    , taking into account the background<|endoftext|>- Let’s explore correlations.⏎8.1: Notice and Wonder: Correlations⏎What do you notice? What do you wonder?⏎8

  2. #2 peak

    , East Timor<|endoftext|>The technological advancements we continue to make, especially in sustainable innovation, never cease to amaze me – especially when they’re as strange and weird as the green ideas featured in this post! Could a tornado be the source of

  3. #3 peak

    Alphabet Activity you can possibly think of! However, it’s a rapidly growing bundle and I’ve got even more ideas coming down the pike!⏎You’ll be surprised to find great fine motor alphabet activities, games, worksheets and more! These are

  4. #4 peak

    dirty, little secret of Lincoln studies: We keep finding new evidence about the life of the 16th president, and some of it can be kind of shocking.⏎It’s worth noting that we didn’t have access to much of

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. L16:507 suppresses
  2. L16:295 suppresses
  3. L16:1507 weakly excites
  4. L16:222 weakly suppresses
  5. L14:1517 weakly excites
  6. L16:1978 weakly suppresses
  7. L10:357 weakly excites
  8. L14:1399 weakly excites
  9. L15:1742 weakly excites
  10. L13:1456 weakly suppresses
  11. L15:618 weakly suppresses
  12. L4:2680 weakly suppresses
  13. L5:2480 weakly excites
  14. L4:429 weakly excites
  15. L16:1747 weakly excites
  16. L12:1362 weakly suppresses
  17. L11:2736 weakly excites
  18. L13:1401 weakly excites
  19. L12:969 weakly excites
  20. L15:477 weakly suppresses
  21. L3:3006 weakly excites
  22. L14:364 weakly suppresses
  23. L9:2265 weakly excites
  24. L10:2058 weakly suppresses

Feeds later layers

  1. L18:552 weakly excites
  2. L18:1175 weakly excites
  3. L18:559 weakly suppresses
  4. L21:1321 weakly suppresses
  5. L21:1378 weakly suppresses
  6. L20:1024 weakly excites
  7. L22:1779 weakly excites
  8. L18:1903 weakly excites
  9. L18:2669 weakly excites
  10. L21:928 weakly suppresses
  11. L20:1490 weakly suppresses
  12. L19:589 weakly suppresses
  13. L19:2669 weakly suppresses
  14. L21:2723 weakly suppresses
  15. L25:3069 weakly suppresses
  16. L18:1792 weakly suppresses
  17. L24:798 weakly excites
  18. L18:2044 weakly suppresses
  19. L20:2125 weakly excites
  20. L18:2110 weakly excites
  21. L24:192 weakly excites
  22. L21:1972 weakly suppresses
  23. L24:107 weakly suppresses
  24. L21:1466 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 -5.45 and -5.013 values between -5.01 and -4.573 values between -4.57 and -4.133 values between -4.13 and -3.694 values between -3.69 and -3.2512 values between -3.25 and -2.8128 values between -2.81 and -2.3739 values between -2.37 and -1.9365 values between -1.93 and -1.49161 values between -1.49 and -1.05282 values between -1.05 and -0.61715 values between -0.61 and -0.172230 values between -0.17 and 0.27206 values between 0.27 and 0.7163 values between 0.71 and 1.1515 values between 1.15 and 1.5915 values between 1.59 and 2.0311 values between 2.03 and 2.4712 values between 2.47 and 2.914 values between 2.91 and 3.354 values between 3.35 and 3.795 values between 3.79 and 4.238 values between 4.23 and 4.673 values between 4.67 and 5.113 values between 5.11 and 5.555 values between 5.55 and 5.991 values between 6.43 and 6.871 values between 6.87 and 7.312 values between 7.31 and 7.752 values between 7.75 and 8.192 values between 11.71 and 12.15offnegativepositiveoften

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. acha
  2. azu
  3. Superview
  4. assis
  5. 度
  6. ��
  7. _prop
  8. gov
  9. atest
  10. ность

Suppresses

  1. 有意
  2. 真正
  3. 有一些
  4. olid
  5. ActionResult
  6. じ
  7. ód
  8. Like
  9. Areas
  10. Beginning