Neuron Explorer

Qwen3-0.6B

"of" in "in terms 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" in the phrase "in terms of", as in "in terms of safety" or "in terms of reading." It stays quiet or goes the other way on "of" in other phrases, such as "can be of help." Turning it up did not produce a clear change in what the model 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

    damaged⏎- Mosaicplasty to take healthy cartilage and use it to replace damaged cartilage⏎You can see that cartilage damage can vary in terms of severity and impact. Now that you know<|endoftext|>Renal autoregulation,

  2. #2 peak

    application and mixing of the coating, it will require curing. This may vary in terms of minutes, hours, and days. In this process, the durable, strong,

  3. #3 peak

    agree on two things: first, standards provide a minimal assurance of integrity and quality, and second, wandering too far afield usually comes at a cost in terms of safety, reliability, performance, profitability, and credibility for the affected organization and its

  4. #4 peak

    . Our metabolism slows down when we are at rest, and we burn fewer calories. But even at rest we continue to expend calories.⏎What really happens in terms of a ‘slowing’ of the metabolism is that older people burn fewer calories on

  5. #5 peak

    asked<|endoftext|>Counties that gained Wal-Mart stores during the 1990s fared worse in terms of family poverty rates than those that did not, according to a new study by researchers

  6. #6 peak

    of how the child is progressing in terms of reading. I will begin by examining the skills that students should be able to complete

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: to place the 2nd and 3rd place as a space, and thus he would be the 5th century year to say that this is the end of time." In the 3rd century, or so to assume that

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

    Parabens and other synthetic preservatives.⏎Concerns Over Safety⏎Some essential oils, like citrus peel extracts, are very effective insecticides and considered to be of low toxicity to mammals. While these oils may be detrimental to the safety of insects

  2. #2 peak

    may not be of pre-Holocene manufacture, but if not, it almost certainly represents the migration

  3. #3 peak

    is available for this purpose (e.g., US Census data at https://www.census.gov/) and can be of tremendous help in targeting various ethnic groups and geographic areas with specific fruit crops. Additionally

  4. #4 peak

    .⏎- Create effective professional memos, proposals, technical definitions, and reports.⏎<|endoftext|>Jewish Views on Stem Cell Research⏎The stem cells most likely to be of scientific value come from discarded embryos. Is it ethical to use these?⏎

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. L3:315 weakly excites 'of' after a noun phrase
  2. L3:245 weakly suppresses
  3. L3:294 weakly excites
  4. L2:1302 weakly suppresses
  5. L3:59 weakly excites
  6. L1:2719 weakly excites
  7. L0:1657 weakly suppresses
  8. L2:895 weakly suppresses
  9. L3:2875 weakly suppresses
  10. L1:2574 weakly suppresses
  11. L0:40 weakly suppresses 'of' in 'sort of' hedges
  12. L1:2187 weakly suppresses
  13. L0:1933 weakly excites
  14. L2:2289 weakly excites
  15. L3:379 weakly suppresses 'that' after 'the good news is'
  16. L3:2359 weakly suppresses
  17. L0:86 weakly suppresses
  18. L1:470 weakly suppresses
  19. L3:2970 weakly suppresses
  20. L1:166 weakly excites
  21. L3:745 weakly excites
  22. L1:1060 weakly suppresses
  23. L0:2607 weakly suppresses
  24. L2:1751 weakly suppresses

Feeds later layers

  1. L10:1215 weakly excites
  2. L15:1176 weakly excites
  3. L16:1153 weakly excites
  4. L10:1604 weakly suppresses
  5. L7:8 weakly suppresses
  6. L14:827 weakly excites open bracket after a value or citation
  7. L15:355 weakly suppresses
  8. L5:1755 weakly excites
  9. L23:1373 weakly excites
  10. L11:2502 weakly excites
  11. L24:93 weakly excites
  12. L12:779 weakly excites
  13. L9:628 weakly excites
  14. L20:652 weakly excites
  15. L26:517 weakly suppresses
  16. L8:473 weakly suppresses
  17. L21:239 weakly suppresses
  18. L24:2329 weakly suppresses
  19. L9:1343 weakly suppresses
  20. L27:106 weakly excites
  21. L20:2873 weakly suppresses
  22. L27:355 weakly excites
  23. L20:2515 weakly excites
  24. L23:8 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 -3.56 and -3.401 values between -3.25 and -3.101 values between -2.64 and -2.491 values between -1.73 and -1.572 values between -1.42 and -1.273 values between -1.27 and -1.121 values between -1.12 and -0.963 values between -0.96 and -0.812 values between -0.81 and -0.667 values between -0.66 and -0.5119 values between -0.51 and -0.35149 values between -0.35 and -0.20869 values between -0.20 and -0.052116 values between -0.05 and 0.10586 values between 0.10 and 0.26104 values between 0.26 and 0.4115 values between 0.41 and 0.568 values between 0.56 and 0.714 values between 0.71 and 0.873 values between 0.87 and 1.024 values between 1.02 and 1.171 values between 1.17 and 1.333 values between 1.33 and 1.481 values between 1.48 and 1.631 values between 1.78 and 1.941 values between 2.24 and 2.392 values between 2.39 and 2.55offnegativepositiveoften

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. 'clock
  2. -fontawesome
  3. ever
  4. oure
  5. .postMessage
  6. -ever
  7. áp
  8. �
  9. -dot
  10. dot

Suppresses

  1. Unnamed
  2. tn
  3. ewn
  4. Uploaded
  5. TRL
  6. шение
  7. ELY
  8. evity
  9. aveled
  10. .pb