Neuron Explorer

Qwen3-0.6B

full stops ending technical sentences

A neuron in layer 2 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 responds to the full stop at the end of a sentence in dense academic or technical writing, such as journal abstracts and research summaries. Turning it up did not produce any clear change in the model's output that matches 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

    LAPACK routines. Intel® Math Kernel Library (Intel® MKL) provides a high performance implementation of BLAS and LAPACK that is optimized for Intel architectures. This webinar discusses building the open source NumPy/SciPy and R with Intel

  2. #2 peak

    generic to specific compounds. The choice of biomarkers is informed by terrestrial biology but is wide ranging, and nonterrestrial biology may be evident from unexpected molecular distributions.

  3. #3 peak

    delving into the importance of the bilan comptable for financial analysis and decision-making, this article will equip you with the knowledge needed to make informed financial decisions.

  4. #4 peak

    proficient. This article, the first in a five-part series, presents an overview of issues related to cultural competence in health care with an emphasis on the pharmacy profession. Also provided are definitions

  5. #5 peak

    hydrophobin structure and the study of the self-assembly process with techniques such as fluorescence, nuclear magnetic resonance, X-ray fibre diffraction and electron microscopy. Our work aims to develop a detailed picture of hydrophobin organisation within surface

  6. #6 peak

    's parent development theory (PDT) to examine parenting factors, including parenting styles, perceptions of the parent role, and individual religiosity, across Christian denominations. For the current study,

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 need to be honest with myself, I need to be honest with myself. I need to be honest with myself. I need to be honest with myself. I need to be honest with myself. I need to be honest with myself.

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

    and do not work”.<|endoftext|>ANN ARBOR, Michigan -- Cancer is often seen as a disease of genetic changes. But one type of childhood brain tumor has stymied efforts to identify a recurring genetic defect.⏎Now, new research suggests changes at

  2. #2 peak

    MET protein.⏎MET is a receptor tyrosine kinase (RTK) that is produced as a single-chain precursor. The precursor is proteolyt

  3. #3 peak

    largest of the three active volcanoes in Italy, being about two and a half times the height of the next largest, Mount Vesuvius. Only Mount Teide in Tenerife surpasses it in the whole of the European-North-A

  4. #4 peak

    e produced by dust reflecting starlight and dark nebulae where dense dust clouds appear in silhouette.” I think it looks like a human heart.⏎Taken from Teide National Park on Tenerife Island, this composite of four shots by Daniel Lopez

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. L1:212 weakly suppresses
  2. L1:1291 weakly suppresses
  3. L1:2867 weakly excites
  4. L0:778 weakly suppresses
  5. L1:2320 weakly suppresses
  6. L0:297 weakly excites
  7. L0:1502 weakly suppresses
  8. L0:1686 weakly suppresses
  9. L0:1935 weakly excites
  10. L1:331 weakly suppresses
  11. L0:2403 weakly excites
  12. L0:2256 weakly excites
  13. L0:2381 weakly suppresses
  14. L0:2978 weakly suppresses
  15. L0:2808 weakly suppresses
  16. L0:698 weakly suppresses
  17. L0:285 weakly excites
  18. L1:550 weakly excites
  19. L0:621 weakly excites
  20. L1:1072 weakly suppresses
  21. L0:943 weakly excites
  22. L1:1022 weakly suppresses
  23. L0:1044 weakly excites
  24. L0:1573 weakly suppresses

Feeds later layers

  1. L5:815 weakly excites
  2. L12:1676 weakly suppresses
  3. L13:751 weakly suppresses
  4. L25:2768 weakly suppresses
  5. L15:813 weakly excites
  6. L20:399 weakly suppresses
  7. L13:2704 weakly suppresses
  8. L24:223 weakly excites
  9. L13:2216 weakly excites
  10. L9:1844 weakly excites
  11. L6:842 weakly suppresses
  12. L19:2808 weakly excites
  13. L11:1350 weakly suppresses
  14. L7:2888 weakly suppresses
  15. L20:1855 weakly excites
  16. L19:622 weakly suppresses
  17. L10:996 weakly excites
  18. L5:449 weakly suppresses
  19. L18:2100 weakly suppresses
  20. L7:1607 weakly excites
  21. L9:2426 weakly excites
  22. L7:729 weakly excites
  23. L23:1526 weakly excites
  24. L12:845 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 -1.22 and -1.132 values between -1.13 and -1.042 values between -1.04 and -0.951 values between -0.86 and -0.772 values between -0.77 and -0.6712 values between -0.67 and -0.5818 values between -0.58 and -0.4914 values between -0.49 and -0.4023 values between -0.40 and -0.3169 values between -0.31 and -0.22219 values between -0.22 and -0.13692 values between -0.13 and -0.041726 values between -0.04 and 0.05794 values between 0.05 and 0.14230 values between 0.14 and 0.2367 values between 0.23 and 0.3211 values between 0.32 and 0.416 values between 0.41 and 0.514 values between 0.60 and 0.691 values between 0.69 and 0.781 values between 0.78 and 0.872 values between 0.87 and 0.961 values between 0.96 and 1.054 values between 1.05 and 1.141 values between 1.14 and 1.231 values between 1.23 and 1.321 values between 1.32 and 1.411 values between 1.50 and 1.591 values between 1.78 and 1.871 values between 2.32 and 2.41offnegativepositiveoften

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. bout
  2. oure
  3. Br
  4. BR
  5. contributions
  6. 触发
  7. BR
  8. rem
  9. probe
  10. 屉

Suppresses

  1. Immediately
  2. hya
  3. ancias
  4. ======⏎
  5. elaide
  6. ほうが
  7. atoria
  8. ഹ
  9. (handles
  10. ങ