Neuron Explorer

Qwen3-0.6B

'to' after 'things' or 'factors'

A neuron in layer 22 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 fires on the small word "to" when it comes right after a noun like "things", "factors" or "important thing" and introduces a verb, as in "things to consider". When turned up, the text fell into repeating "to keep to keep" loops.

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

    Build Cascading Deck Stairs⏎Building cascading deck stairs can be a fun and easy project that can add value to your home. There are a few things to consider when building cascading stairs, such as the height of the landing, the

  2. #2 peak

    many technical exercises require their outcome/findings to be communicated to stakeholders (or in the case of students, assessors). Here, some of the most important considerations to be taken into account when writing a technical report are highlighted. This section will briefly

  3. #3 peak

    know, here's some things to check:⏎Its going to vary by manufacturer, window type, and age, but

  4. #4 peak

    the strengths of the Heartland Theory?⏎- What are the weaknesses of the Heartland Theory?⏎- Does the Heartland Theory still apply today?⏎- Key points to remember about Mackinder’s Heartland Theory⏎- Mackinder’s Heartland Theory

  5. #5 peak

    Shepherd is Overweight⏎It is difficult to notice when a remarkable change has happened in your dog, especially when you it every day. Below are a few things to look out for to determine if your dog is overweight. However, a vet

  6. #6 peak

    The following method for evaluation takes into account wheel applications for a cart or other vehicle bearing an equally distributed load while at rest. There are a number of additional factors to take into consideration when evaluating the suitability of a particular wheel for specific applications, which

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 way in the **principle of the** **principle** (prs) that the **principle** is **a** **principle** (prs) to the **principle** to the **principle**

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

    pureus albus, and another named C.<|endoftext|>General Chemistry/Periodicity and Electron Configurations⏎Blocks of the Periodic Table ⏎The Periodic

  2. #2 peak

    can also visit the Food and Drug Administration (FDA) website ( Web Site) or the manufacturer's website to obtain the Medication<|endoftext|>Gingivitis, periodontitis, and gum disease.⏎Are these words you have heard at the dental

  3. #3 peak

    a complex and inter-connected microbial neighborhood that appears to be associated with asthma, and akin to what has also been found in inflammatory bowel disease, vaginitis, periodontitis, and possibly even obesity.⏎"People thought that asthma was caused by inhal

  4. #4 peak

    a different instrument⏎- African drums or Samba⏎Year 1 and Year 2 are also offered the opportunity to learn to play the violin with a peripatetic member of staff from Hampshire Music Service.<|endoftext|>Do you experience persistent jaw

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. L21:2405 suppresses
  2. L20:2035 suppresses
  3. L19:2394 excites
  4. L6:2387 weakly excites
  5. L17:1012 weakly excites
  6. L21:1890 weakly suppresses
  7. L5:741 weakly excites
  8. L0:2216 weakly excites
  9. L15:2692 weakly excites 'to' after a noun, before a purpose verb
  10. L12:2586 weakly excites 'so' after a comma
  11. L8:728 weakly excites
  12. L15:857 weakly excites
  13. L20:322 weakly suppresses
  14. L14:2077 weakly excites
  15. L21:1766 weakly excites 'in' in 'bear in mind' phrases
  16. L9:2 weakly excites
  17. L21:1877 weakly suppresses
  18. L18:1714 weakly suppresses
  19. L17:1939 weakly excites
  20. L17:2517 weakly suppresses
  21. L15:2293 weakly suppresses
  22. L1:2679 weakly suppresses
  23. L11:2993 weakly suppresses
  24. L12:812 weakly excites

Feeds later layers

  1. L23:1542 excites
  2. L24:764 excites
  3. L25:959 excites
  4. L24:2481 excites
  5. L25:1678 excites
  6. L23:2486 weakly excites
  7. L23:1876 weakly excites
  8. L23:1500 weakly excites
  9. L23:1141 weakly suppresses
  10. L27:1236 weakly excites
  11. L27:1619 weakly excites
  12. L24:1973 weakly suppresses
  13. L23:1945 weakly suppresses
  14. L23:1445 weakly excites
  15. L23:2504 weakly excites
  16. L23:2361 weakly excites 'to' in 'to do with'
  17. L24:396 weakly suppresses
  18. L27:1751 weakly suppresses
  19. L24:1897 weakly excites
  20. L23:2074 weakly suppresses
  21. L27:2665 weakly suppresses
  22. L24:2022 weakly suppresses
  23. L24:2853 weakly suppresses
  24. L23:829 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 -26.61 and -25.501 values between -22.18 and -21.081 values between -14.44 and -13.331 values between -13.33 and -12.231 values between -8.91 and -7.802 values between -7.80 and -6.705 values between -6.70 and -5.594 values between -5.59 and -4.482 values between -4.48 and -3.385 values between -3.38 and -2.2738 values between -2.27 and -1.172021 values between -1.17 and -0.061758 values between -0.06 and 1.0534 values between 1.05 and 2.1513 values between 2.15 and 3.265 values between 3.26 and 4.375 values between 4.37 and 5.472 values between 5.47 and 6.581 values between 6.58 and 7.682 values between 8.79 and 9.902 values between 9.90 and 11.001 values between 12.11 and 13.222 values between 14.32 and 15.431 values between 16.53 and 17.64offnegativepositiveoften

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. 应该
  2. 要
  3. should
  4. 要考虑
  5. Keep
  6. 应
  7. 需
  8. zym
  9. 需要
  10. 要注意

Suppresses

  1. phận
  2. enso
  3. ứt
  4. مج
  5. assure
  6. ipe
  7. vẻ
  8. JEXEC
  9. تون
  10. 个项目