Neuron Explorer

Qwen3-0.6B

'the' after 'research in' or 'pioneer in'

A neuron in layer 18 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 weakly on the word 'the' when it follows a preposition like 'in' or 'into', as in 'research in the field' or 'pioneer in the domain'. The signal is modest compared with the other neurons here. Turning it up made the text wander into unrelated topics.

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

    one or both of the phases may be a strongly viscoelastic fluid such as polymer melt.⏎Research in the Polymers and Industrial Mathematics group focuses on the mechanics of polymers and other

  2. #2 peak

    that there are also long term repercussions,” said Silje Steinsbekk, study author and associate professor and psychologist at NTNU.⏎This research is published in the Journal of Developmental & Behavioral Pediatrics.⏎Previous news in sleep:<|endoftext|>In the

  3. #3 peak

    with brain health. Recent studies show that superfoods and certain spices, can have a positive affect on our physical and mental health. In fact, many experts in the field of nutrition all agree that the benefits of a healthy regime of fruits and vegetables

  4. #4 peak

    allam's life, reveals that he was a staunch advocate of environmental protection. One could say he was an "environmentalist avant la lettre", a pioneer in the domain of conservation, sustainable development and resource management, and one who

  5. #5 peak

    on tumour initiation, progression and responses to chemotherapy or immunotherapy. Moreover, we summarised the recent progress in the treatment of tumours with genetically engineered bacteria.⏎More information, here<|endoftext|>Quickprop

  6. #6 peak

    frequencies. Our understanding of the human body is shifting from a mechanical-chemical perspective to a quantum-energetic perspective.⏎Dr. Robert Becker, a pioneer in the field of regeneration and its relationship to electric currents in living things, mapped and recorded

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 want to be like the good that I want to be, not the bad ones that I want to be - not the ones I am not **not** **** **any** **** ****i** **** ****a

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

    , even for a few seconds, is enough to kill most bacteria, viruses, or parasites. Toxins produced by bacteria<|endoftext|>Dit artikel staat op icthealth.nl. Link: https://ictandhealth.com/ucla-looks-

  2. #2 peak

    ios the Areopagite, who was converted by St. Paul while preaching in Athens on Mars Hill and a disciple of St. Hierotheos of Athens, wrote about these nine orders in his book: “Celestial

  3. #3 peak

    631–642, 2013. My thoughts precipitated a brief conversation with Erella Hovers in which, for the umpteenth time, she expounded the theory that a fossil

  4. #4 peak

    _ swamping them under a flood of water from the local canal.⏎21 August 2007⏎ALBERIQUE - For decades, Alberto Martorell has been irrigating his orange and persimmon groves in this sw

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. L17:366 suppresses
  2. L4:221 suppresses
  3. L1:55 suppresses
  4. L16:118 suppresses
  5. L16:66 excites
  6. L14:95 suppresses
  7. L14:392 suppresses
  8. L17:542 suppresses
  9. L2:7 excites
  10. L17:30 suppresses
  11. L0:1242 suppresses
  12. L16:56 suppresses
  13. L1:141 suppresses
  14. L0:54 excites
  15. L1:1274 excites
  16. L9:24 excites "the" before a named organisation or title
  17. L6:1749 weakly excites
  18. L0:26 weakly suppresses
  19. L12:435 weakly suppresses
  20. L16:145 weakly excites
  21. L15:2490 weakly excites
  22. L4:52 weakly excites
  23. L11:2570 weakly excites
  24. L16:711 weakly excites

Feeds later layers

  1. L19:798 excites
  2. L19:1370 excites
  3. L19:848 excites
  4. L23:466 excites
  5. L24:1090 weakly excites
  6. L19:231 weakly excites
  7. L20:2652 weakly excites
  8. L19:2474 weakly suppresses
  9. L20:1964 weakly excites
  10. L19:311 weakly excites
  11. L25:1252 weakly excites
  12. L19:1241 weakly excites
  13. L23:1478 weakly excites
  14. L26:494 weakly excites
  15. L20:1273 weakly excites
  16. L19:1083 weakly excites
  17. L19:308 weakly excites
  18. L23:2461 weakly suppresses
  19. L23:1340 weakly excites
  20. L19:233 weakly excites
  21. L19:230 weakly excites
  22. L23:1451 weakly suppresses
  23. L24:867 weakly excites
  24. L27:2411 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 -8.87 and -8.462 values between -8.46 and -8.061 values between -8.06 and -7.662 values between -7.66 and -7.261 values between -6.85 and -6.451 values between -6.45 and -6.051 values between -6.05 and -5.641 values between -5.64 and -5.242 values between -5.24 and -4.842 values between -4.84 and -4.444 values between -4.44 and -4.034 values between -4.03 and -3.633 values between -3.63 and -3.235 values between -3.23 and -2.824 values between -2.82 and -2.424 values between -2.42 and -2.024 values between -2.02 and -1.6114 values between -1.61 and -1.2124 values between -1.21 and -0.81171 values between -0.81 and -0.411456 values between -0.41 and -0.001826 values between -0.00 and 0.40258 values between 0.40 and 0.8032 values between 0.80 and 1.2122 values between 1.21 and 1.6117 values between 1.61 and 2.018 values between 2.01 and 2.4212 values between 2.42 and 2.828 values between 2.82 and 3.223 values between 3.22 and 3.621 values between 3.62 and 4.033 values between 4.03 and 4.435 values between 4.43 and 4.832 values between 4.83 and 5.242 values between 5.24 and 5.641 values between 6.44 and 6.851 values between 6.85 and 7.25offnegativepositiveoften

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. ечение
  2. rí
  3. سبيل
  4. etus
  5. reffen
  6. isseur
  7. eyed
  8. (())⏎
  9. 下一代
  10. 又是

Suppresses

  1. atories
  2. 的一切
  3. ories
  4. ordinate
  5. urope
  6. ないので
  7. atures
  8. ورية
  9. 挺好
  10. acie