Neuron Explorer

Qwen3-0.6B

'of' after 'measure' or 'biomarkers'

A neuron in layer 1 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 word "of" right after nouns like "a measure", "biomarkers", or "measures", as in "a measure of blood pressure". Its negative side appears on "on" after words like "discussion" or "analysis". Turning it up made the text repeat or drift, so the steering only loosely shows its role.

Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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

    dysregulated during cancer development, and it has suggested that the molecules offer new biomarkers of disease, and that restoring key microRNAs to normal levels might offer a new

  2. #2 peak

    also highly specific and remained after controlling for variability in working memory capacity and verbal knowledge. Finally, we found that domain-general conflict monitoring also predicted individual variability in measures of reading comprehension, and that this relationship was partially mediated by behavioral measures of linguistic error

  3. #3 peak

    immunology · Physiological Psychology · Psychopharmacology (Index, Outline)⏎Electrical conductance is the reciprocal of electrical resistance. It is a measure of how easily electricity flows along a certain path through an electrical element. The SI derived

  4. #4 peak

    ? What are its causes? This article from HealthHearty discusses how it impinges on our health and how it can be treated.⏎Blood pressure is a measure of the force exert

  5. #5 peak

    gland in the brain and tells our thyroid to secrete more thyroid hormones (T4 and T3)⏎Why it’s important: TSH is a general measure of thyroid function. NDs like to see this value in a very narrow range,

  6. #6 peak

    approach, we examined if performance in nonlinguistic conflict monitoring tasks (Stroop, AX-CPT) would predict individual differences in neural and behavioral measures of linguistic error processing. Consistent with this hypothesis, domain-general conflict monitoring predicted both

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: I have been thinking about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about about

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

    ) need to have an in-depth discussion on the issue to ensure that we reached a balanced decision.⏎This is an issue that

  2. #2 peak

    phone countries also command a significantly lower level of public trust. These results remain robust when including a diverse set of controls, as well as in a discontinuity analysis on observations near the borders between anglophone and francophone countries.⏎- Colonial rule

  3. #3 peak

    lia, from Latin, neuter pl. of rēgālis, regal⏎An explanation on how to wear this thing.<|endoftext|>It is more than a quarter of a century

  4. #4 peak

    class and outside of it. However, it takes time, certain skills, and a lot of work.⏎Detailed plan on how to be more confident in school⏎Before implementing any plan on how to build

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. L0:866 weakly suppresses
  2. L0:1320 weakly excites
  3. L0:178 weakly suppresses
  4. L0:368 weakly suppresses
  5. L0:1408 weakly excites
  6. L0:1301 weakly suppresses
  7. L0:1224 weakly suppresses
  8. L0:243 weakly excites "of" after "regardless"
  9. L0:99 weakly suppresses
  10. L0:2099 weakly excites
  11. L0:2713 weakly excites
  12. L0:2236 weakly suppresses
  13. L0:2752 weakly excites
  14. L0:1137 weakly excites
  15. L0:104 weakly excites
  16. L0:1383 weakly suppresses
  17. L0:865 weakly suppresses
  18. L0:1678 weakly suppresses
  19. L0:916 weakly excites
  20. L0:2222 weakly suppresses
  21. L0:2592 weakly excites
  22. L0:616 weakly excites
  23. L0:2731 weakly suppresses
  24. L0:2357 weakly excites

Feeds later layers

  1. L2:1163 weakly excites
  2. L8:822 weakly suppresses
  3. L27:1830 weakly suppresses
  4. L5:2297 weakly suppresses
  5. L14:418 weakly excites
  6. L13:2790 weakly suppresses
  7. L5:903 weakly excites
  8. L17:149 weakly excites
  9. L25:1359 weakly excites
  10. L13:2119 weakly excites
  11. L6:2979 weakly suppresses
  12. L26:2313 weakly excites
  13. L9:515 weakly suppresses
  14. L21:484 weakly excites
  15. L20:1657 weakly excites
  16. L5:724 weakly excites
  17. L19:214 weakly excites
  18. L9:648 weakly excites
  19. L19:2865 weakly excites
  20. L21:2377 weakly excites
  21. L7:1176 weakly excites
  22. L19:733 weakly excites
  23. L10:468 weakly excites
  24. L2:1596 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.

3 values between -0.89 and -0.803 values between -0.63 and -0.542 values between -0.54 and -0.4511 values between -0.45 and -0.3717 values between -0.37 and -0.2874 values between -0.28 and -0.19272 values between -0.19 and -0.111005 values between -0.11 and -0.021774 values between -0.02 and 0.07498 values between 0.07 and 0.16165 values between 0.16 and 0.2446 values between 0.24 and 0.3311 values between 0.33 and 0.424 values between 0.42 and 0.502 values between 0.50 and 0.592 values between 0.59 and 0.683 values between 0.68 and 0.761 values between 0.76 and 0.854 values between 0.85 and 0.942 values between 0.94 and 1.022 values between 1.11 and 1.201 values between 1.20 and 1.291 values between 1.37 and 1.462 values between 1.46 and 1.551 values between 1.63 and 1.721 values between 1.72 and 1.811 values between 2.50 and 2.59offnegativepositiveoften

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. extrapol
  2. tracer
  3. bird
  4. 월
  5. fone
  6. conn
  7. illis
  8. اته
  9. ifice
  10. port

Suppresses

  1. nad
  2. lá
  3. naz
  4. .Require
  5. .cljs
  6. mint
  7. capitals
  8. Bundy
  9. ulent
  10. leared