full stops ending technical sentences
A neuronOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in layerOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. 2 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featuredA neuron picked for the full treatment: steering outputs and a written explanation. About 3,000 of the 86,000 neurons are 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 activationThe number a neuron produces for a token. Large positive means it fired hard; negative means it pushed the other way. was highest. Amber marks positive activation; the outlined tokenA piece of text the model reads at once: often a word, sometimes part of a word or a punctuation mark. is the peak. Hover a token for its strength.
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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
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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.
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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.
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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
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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
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'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,
SteeringAdding a push along a neuron while the model writes, to see how its output changes. Turning it up or down.
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.
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.
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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
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MET protein.⏎MET is a receptor tyrosine kinase (RTK) that is produced as a single-chain precursor. The precursor is proteolyt
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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
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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 mapWhich neuronsOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in earlier layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.
Fed by earlier layers
- L1:212 weakly suppresses
- L1:1291 weakly suppresses
- L1:2867 weakly excites
- L0:778 weakly suppresses
- L1:2320 weakly suppresses
- L0:297 weakly excites
- L0:1502 weakly suppresses
- L0:1686 weakly suppresses
- L0:1935 weakly excites
- L1:331 weakly suppresses
- L0:2403 weakly excites
- L0:2256 weakly excites
- L0:2381 weakly suppresses
- L0:2978 weakly suppresses
- L0:2808 weakly suppresses
- L0:698 weakly suppresses
- L0:285 weakly excites
- L1:550 weakly excites
- L0:621 weakly excites
- L1:1072 weakly suppresses
- L0:943 weakly excites
- L1:1022 weakly suppresses
- L0:1044 weakly excites
- L0:1573 weakly suppresses
Feeds later layers
- L5:815 weakly excites
- L12:1676 weakly suppresses
- L13:751 weakly suppresses
- L25:2768 weakly suppresses
- L15:813 weakly excites
- L20:399 weakly suppresses
- L13:2704 weakly suppresses
- L24:223 weakly excites
- L13:2216 weakly excites
- L9:1844 weakly excites
- L6:842 weakly suppresses
- L19:2808 weakly excites
- L11:1350 weakly suppresses
- L7:2888 weakly suppresses
- L20:1855 weakly excites
- L19:622 weakly suppresses
- L10:996 weakly excites
- L5:449 weakly suppresses
- L18:2100 weakly suppresses
- L7:1607 weakly excites
- L9:2426 weakly excites
- L7:729 weakly excites
- L23:1526 weakly excites
- L12:845 weakly excites
Activation histogramA chart of how often a neuron takes each activation value.
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.
Logit lensReading which output tokens a neuron pushes toward or away from, straight off its output weights, before the later layers have their say.
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 layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. instead.
Promotes
- bout
- oure
- Br
- BR
- contributions
- 触发
- BR
- rem
- probe
- 屉
Suppresses
- Immediately
- hya
- ancias
- ======⏎
- elaide
- ほうが
- atoria
- ഹ
- (handles
- ങ