Neuron Explorer

Qwen3-0.6B

journal names after 'published in'

A neuron in layer 13 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 name of a science journal, especially 'Nature', when it comes right after words like 'published in'. When turned up, the model's text did not show any clear journal theme, so the steering output does not confirm this.

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

    , which can be applied to a wide variety of fields.⏎The project is a continuation of Suhr’s previous work on nanotubes, which was published in Nature Nanotechnology. In this previous work, Suhr tested the strength and fatigue behavior

  2. #2 peak

    means that the files are stored in a compressed format.⏎For Python Implementation⏎You can use OpenCV to manipulate the images.⏎pip3 install opencv-python numpy⏎Open up a new Python file and follow along:⏎import numpy as np

  3. #3 peak

    Medicine in the context of the GEUVADIS project, today present a map that points to the genetic causes of differences between people. The study, published in Nature and Nature Biotechnology, offers the largest-ever dataset linking human genomes to gene activity

  4. #4 peak

    say, demonstrate that 3D simulation-guided procedures are worthy of expanded clinical trials.⏎Results of the study are described in the Sept. 3 issue of Nature Biomedical Engineering.⏎“Cardiac ablation, or the destruction of tissue

  5. #5 peak

    this channel lack the ability to taste anything sweet, bitter or umami (the flavor of MSG), researchers report today (Mar. 6) in the journal Nature.⏎Taste buds have cells that detect sweet, bitter and umami flavors.

  6. #6 peak

    study, “Differential roles for DNAJ isoforms in HTT-polyQ and FUS aggregation modulation revealed by chaperone screens,” was published in Nature Communications.⏎Neurodegenerative diseases, including ALS and Huntington’s, are

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, for a long time, for a long time, for a long time, for a long time, for a long time, for a long time, for a long time, for a long time, for a long time

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

    Project. Select General >> Empty Project and type in the project name.⏎- Under folder Source, right-click Select Add >> New Item.⏎- Under Code, Select C++ File (.cpp), however, when you type in the name use a program

  2. #2 peak

    structure = function.⏎(Image from: https://commons.wikimedia.org/w/index.php?curid=1267900)⏎Want

  3. #3 peak

    0 us, https://commons.wikimedia.org/w/index.php?curid=12708190<|endoftext|>

  4. #4 peak

    and educators which include His Royal Highness Prince Sultan bin Salman bin Abdul-Aziz Al Saud, astronaut and payload specialist aboard space shuttle mission STS-51-G in 1985, and the first Arab and Muslim to travel

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. L11:1601 strongly excites
  2. L8:3031 strongly excites
  3. L12:2163 excites
  4. L12:940 suppresses
  5. L6:2069 excites
  6. L9:2890 excites
  7. L10:509 excites
  8. L8:2375 excites
  9. L12:887 suppresses
  10. L7:2026 excites
  11. L6:785 excites
  12. L8:2590 suppresses
  13. L11:1816 suppresses
  14. L7:2975 suppresses
  15. L11:1917 weakly suppresses
  16. L8:2074 weakly excites
  17. L10:1839 weakly excites
  18. L6:2016 weakly excites
  19. L7:1684 weakly excites
  20. L9:1633 weakly excites
  21. L12:576 weakly excites 'of' in fixed phrases like table of contents
  22. L10:3007 weakly suppresses
  23. L8:2540 weakly suppresses
  24. L0:2781 weakly suppresses

Feeds later layers

  1. L14:2477 strongly excites
  2. L14:759 strongly excites
  3. L16:3057 strongly excites
  4. L15:646 excites
  5. L16:592 excites
  6. L17:1051 excites
  7. L16:2361 excites
  8. L17:746 excites
  9. L15:1425 excites
  10. L16:1406 excites
  11. L16:2413 excites
  12. L14:1265 excites
  13. L18:774 excites
  14. L15:1868 excites
  15. L17:870 excites
  16. L15:227 excites
  17. L17:259 excites
  18. L18:708 excites
  19. L15:966 excites
  20. L17:2594 excites
  21. L16:2366 weakly excites
  22. L16:67 weakly excites
  23. L18:2731 weakly excites
  24. L18:617 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 -1.12 and -1.042 values between -1.04 and -0.961 values between -0.96 and -0.885 values between -0.88 and -0.8013 values between -0.80 and -0.7222 values between -0.72 and -0.6464 values between -0.64 and -0.5688 values between -0.56 and -0.48135 values between -0.48 and -0.40200 values between -0.40 and -0.32316 values between -0.32 and -0.24498 values between -0.24 and -0.16787 values between -0.16 and -0.08981 values between -0.08 and 0.00516 values between 0.00 and 0.08178 values between 0.08 and 0.1649 values between 0.16 and 0.2434 values between 0.24 and 0.328 values between 0.32 and 0.402 values between 0.40 and 0.481 values between 0.48 and 0.563 values between 0.56 and 0.641 values between 0.64 and 0.721 values between 0.80 and 0.891 values between 0.89 and 0.971 values between 2.01 and 2.09offnegativepositiveoften

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. advertisement
  2. ��
  3. itures
  4. gings
  5. auté
  6. contest
  7. 及其
  8. -tools
  9. IDADE
  10. стер

Suppresses

  1. ansson
  2. eneric
  3. dzi
  4. efault
  5. istro
  6. iev
  7. شي
  8. ])[
  9. بيان
  10. ことがある