Neuron Explorer

Qwen3-0.6B

"a" after a name, introducing a title

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 "a" right after a person's name in a news quote, as in "Natalia Trayanova, a professor". It is the spot where the writer is about to describe who that person is. Turning it up did not produce a visible change in topic.

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

    Department of Biomedical Engineering at The Johns Hopkins University Schools of Engineering and Medicine and the project’s principal investigator… Continue reading.⏎Natalia Trayanova, a professor

  2. #2 peak

    vehicles’ directions and velocities to make decisions.⏎“The motivation is, ‘What can we do with as little information as possible?’” says Alyssa Pierson, a postdoc at CSAIL and first author on the new paper. “How can

  3. #3 peak

    anxiety disorder,” he said⏎“It’s interesting work that fits nicely with recent work suggesting that testosterone influences social motivation and perception,” said Pranjal Mehta, a psychologist at Columbia University who was not involved in the study. Future studies should test

  4. #4 peak

    campaign on energy policy. “We desperately need to find a new form of energy.”⏎Colin Campbell, a retired geologist, says governments are too caught up in short-term issues to focus

  5. #5 peak

    Lab. Located on the third floor of the Student Learning Centre, where the DME helps students incorporate these technologies into class projects.⏎Kieran Ramnarine, a DME student advisor who helped Luksatrio with his project, said that

  6. #6 peak

    , most people have focused on larger systems that produce 1 megawatt of power or more and can replace traditional power plants," said Vincent Sprenkle, a co-author on the paper and chief engineer of PNNL's solid oxide fuel

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 think the problem is that the problem is not a problem." What do I mean by that? What do I mean by that? What do I mean by that? What do I mean by that? What do I mean by 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

    cycle and biology of Xyleborus glabratus.⏎Adult females construct galleries in the sapwood and inoculate the galleries with a fungus (Ophiostoma sp., vascular wilt pathogen). The adults and larvae feed on fungi and not

  2. #2 peak

    the yeast-like fungus Candida albicans or occasionally by other species of Candida. Vulvovaginitis due to Candida presents with an erythema of the vaginal mucous membrane and the vulval skin, itching

  3. #3 peak

    of mammals act as natural reservoirs of Trypanosoma cruzi (the causal agent of Chagas disease) across the American continent.

  4. #4 peak

    or vesicles and rupture, leaving a peeling edge. Involvement of groins sometimes coexists. Perianal candidiasis presents with erythema, soreness and irritation, and subsequent spread along the natal cleft is

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. L0:1224 suppresses
  2. L0:1301 suppresses
  3. L0:178 suppresses
  4. L0:1042 weakly excites "This" starting a labelled sentence
  5. L0:300 weakly excites
  6. L0:351 weakly suppresses
  7. L0:1408 weakly excites
  8. L0:1065 weakly excites
  9. L0:2118 weakly excites
  10. L0:2799 weakly suppresses
  11. L0:1299 weakly suppresses
  12. L0:2259 weakly suppresses
  13. L0:955 weakly suppresses
  14. L0:909 weakly suppresses
  15. L0:1645 weakly suppresses
  16. L0:313 weakly suppresses "and" joining paired nouns
  17. L0:2280 weakly suppresses
  18. L0:2743 weakly excites
  19. L0:836 weakly suppresses
  20. L0:2572 weakly suppresses
  21. L0:970 weakly suppresses
  22. L0:1025 weakly excites
  23. L0:652 weakly excites
  24. L0:2197 weakly excites

Feeds later layers

  1. L11:520 weakly excites
  2. L16:1735 weakly excites
  3. L21:360 weakly suppresses 'such' introducing examples
  4. L3:402 weakly excites
  5. L4:2267 weakly suppresses
  6. L20:1733 weakly suppresses
  7. L3:1938 weakly excites
  8. L14:1776 weakly suppresses
  9. L3:355 weakly excites
  10. L10:2952 weakly excites
  11. L26:804 weakly excites
  12. L7:22 weakly suppresses
  13. L20:1127 weakly excites
  14. L3:799 weakly suppresses
  15. L12:2456 weakly excites
  16. L14:2700 weakly suppresses
  17. L10:2026 weakly excites
  18. L13:1613 weakly excites
  19. L23:691 weakly suppresses 'it' before 'is important to'
  20. L9:2146 weakly suppresses
  21. L10:1124 weakly excites
  22. L14:819 weakly suppresses
  23. L2:2642 weakly suppresses
  24. L21:359 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 -2.48 and -2.332 values between -1.56 and -1.412 values between -1.25 and -1.103 values between -0.95 and -0.7911 values between -0.64 and -0.4974 values between -0.49 and -0.33235 values between -0.33 and -0.181340 values between -0.18 and -0.031941 values between -0.03 and 0.13237 values between 0.13 and 0.2818 values between 0.28 and 0.449 values between 0.44 and 0.595 values between 0.59 and 0.747 values between 0.74 and 0.905 values between 0.90 and 1.054 values between 1.20 and 1.364 values between 1.36 and 1.511 values between 1.51 and 1.661 values between 1.66 and 1.824 values between 1.82 and 1.971 values between 2.28 and 2.432 values between 2.43 and 2.591 values between 3.51 and 3.66offnegativepositiveoften

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. .appspot
  2. ��
  3. SSERT
  4. GetInstance
  5. =edge
  6. (;;
  7. bergen
  8. 梦见
  9. UPPORT
  10. Anthem

Suppresses

  1. iqu
  2. ten
  3. 几张
  4. istr
  5. exas
  6. ivas
  7. tar
  8. tu
  9. atcher
  10. 不留