Neuron Explorer

Qwen3-0.6B

modifiers right before a noun

A neuron in layer 16 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 fires on words that come just before the noun they describe, like "surrounding" in "surrounding region" or "daily" in "daily exposure". The pattern is loose, and turning it up mostly gave rambling or repetitive text, so the link to any clear theme is weak.

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

    stratified by region and compared with those of a national sample of comparably aged students from the Monitoring the Future study. Specifically, lifetime and last 30-day self-reported

  2. #2 peak

    completely avoided.⏎However, overcuring can become a problem when the 3D model contains a hole or cavity in its z axis, i.e. its vertical direction. At the moment when this cavity is closed, there is no previous layer

  3. #3 peak

    % to 80%. Typically a fracture can be seen on ultrasonography as a disruption in the hyperechoic linear cortex of bone as well as surrounding hematoma. (See image 1.) Ultrasonography of the pediatric elbow

  4. #4 peak

    7.4 years). American Indian students reported significantly higher lifetime and last 30-day substance use rates compared with the national sample. Lifetime use rates for American Indian students

  5. #5 peak

    Adobe Acrobat Reader version 10 or higher for the best experience.⏎- What challenges do LEAs face related to school physical security?⏎A core responsibility of the local education agencies (LEAs) that operate kindergarten-through–12th grade (

  6. #6 peak

    n (‘Afrin in Arabic), with an urban population of approximately 80,000. The city of Efrîn and the surrounding region have a population of close to 500,000.

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 a 2000, 2000, 2000, 2000, 2000, 2000, 2000, 20

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

    Weather Radio.⏎| || |⏎ORIONID METEOR UPDATE: Earth is passing through a broad stream of debris from Halley's Comet, source of the annual

  2. #2 peak

    pass through a large iron gate that marks the border.⏎The Nathula Pass, once part of the ancient Silk Road and later sealed after a 1962 war, was reopened in 2006 as a symbol of improved relations

  3. #3 peak

    to Tolkappiam it is learnt that the great sage Agastya brought all the 18 clan of Velirs to the south after some kind of natural calamity struck the northern part of the country on those days, most importantly the

  4. #4 peak

    to leave the video in its raw state. You will probably discern why.]<|endoftext|>On Scotland’s Isle of Skye, scientists have identified two areas with evidence of ancient life forms.⏎Researchers believe the markings are, in fact, footprints from dinosaurs

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. L12:2029 suppresses
  2. L11:2257 suppresses
  3. L13:330 suppresses
  4. L13:2594 excites
  5. L14:1779 excites
  6. L11:1019 excites
  7. L14:2916 excites
  8. L5:1372 excites
  9. L13:1758 excites
  10. L12:1531 excites
  11. L14:826 weakly suppresses
  12. L6:1063 weakly suppresses
  13. L12:1622 weakly suppresses
  14. L5:2198 weakly suppresses
  15. L12:970 weakly suppresses
  16. L14:2291 weakly suppresses
  17. L15:499 weakly excites
  18. L8:2099 weakly excites
  19. L5:457 weakly suppresses 'a' after 'tell', 'bring' or 'much of'
  20. L15:2521 weakly excites
  21. L15:1315 weakly suppresses line break splitting a sentence
  22. L15:260 weakly suppresses
  23. L6:285 weakly suppresses
  24. L11:2015 weakly suppresses

Feeds later layers

  1. L18:783 excites
  2. L19:1472 suppresses
  3. L19:676 weakly excites
  4. L22:487 weakly suppresses
  5. L18:140 weakly suppresses
  6. L22:1798 weakly excites
  7. L20:1177 weakly suppresses
  8. L19:1495 weakly excites
  9. L17:876 weakly suppresses
  10. L20:1800 weakly excites
  11. L17:1364 weakly excites
  12. L18:884 weakly suppresses
  13. L19:2618 weakly suppresses
  14. L19:2306 weakly suppresses
  15. L23:426 weakly suppresses
  16. L27:2260 weakly excites
  17. L20:2653 weakly excites
  18. L21:215 weakly excites
  19. L24:2748 weakly suppresses
  20. L21:618 weakly excites
  21. L19:1160 weakly suppresses
  22. L22:43 weakly excites
  23. L18:2230 weakly suppresses
  24. L17:104 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 -4.44 and -4.261 values between -3.34 and -3.161 values between -3.16 and -2.981 values between -2.98 and -2.803 values between -2.80 and -2.612 values between -2.61 and -2.437 values between -2.43 and -2.251 values between -2.25 and -2.075 values between -2.07 and -1.884 values between -1.88 and -1.705 values between -1.70 and -1.528 values between -1.52 and -1.3421 values between -1.34 and -1.1627 values between -1.16 and -0.9734 values between -0.97 and -0.7944 values between -0.79 and -0.6181 values between -0.61 and -0.43162 values between -0.43 and -0.24598 values between -0.24 and -0.061966 values between -0.06 and 0.12471 values between 0.12 and 0.30196 values between 0.30 and 0.49105 values between 0.49 and 0.6763 values between 0.67 and 0.8538 values between 0.85 and 1.0320 values between 1.03 and 1.2211 values between 1.22 and 1.4017 values between 1.40 and 1.582 values between 1.58 and 1.766 values between 1.76 and 1.953 values between 1.95 and 2.132 values between 2.31 and 2.491 values between 2.49 and 2.681 values between 2.68 and 2.86offnegativepositiveoften

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. hape
  2. etype
  3. types
  4. properties
  5. rôle
  6. yleft
  7. 成龙
  8. iology
  9. 风格
  10. 左右

Suppresses

  1. 对话
  2. hausen
  3. 誓言
  4. →meta
  5. 所谓的
  6. vow
  7. dialog
  8. uish
  9. 金属
  10. arning