journal names after 'published in'
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. 13 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 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 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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, 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
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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
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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
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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
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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.
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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
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 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.
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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
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structure = function.⏎(Image from: https://commons.wikimedia.org/w/index.php?curid=1267900)⏎Want
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0 us, https://commons.wikimedia.org/w/index.php?curid=12708190<|endoftext|>
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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 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
- L11:1601 strongly excites
- L8:3031 strongly excites
- L12:2163 excites
- L12:940 suppresses
- L6:2069 excites
- L9:2890 excites
- L10:509 excites
- L8:2375 excites
- L12:887 suppresses
- L7:2026 excites
- L6:785 excites
- L8:2590 suppresses
- L11:1816 suppresses
- L7:2975 suppresses
- L11:1917 weakly suppresses
- L8:2074 weakly excites
- L10:1839 weakly excites
- L6:2016 weakly excites
- L7:1684 weakly excites
- L9:1633 weakly excites
- L12:576 weakly excites 'of' in fixed phrases like table of contents
- L10:3007 weakly suppresses
- L8:2540 weakly suppresses
- L0:2781 weakly suppresses
Feeds later layers
- L14:2477 strongly excites
- L14:759 strongly excites
- L16:3057 strongly excites
- L15:646 excites
- L16:592 excites
- L17:1051 excites
- L16:2361 excites
- L17:746 excites
- L15:1425 excites
- L16:1406 excites
- L16:2413 excites
- L14:1265 excites
- L18:774 excites
- L15:1868 excites
- L17:870 excites
- L15:227 excites
- L17:259 excites
- L18:708 excites
- L15:966 excites
- L17:2594 excites
- L16:2366 weakly excites
- L16:67 weakly excites
- L18:2731 weakly excites
- L18:617 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
- advertisement
- ��
- itures
- gings
- auté
- contest
- 及其
- -tools
- IDADE
- стер
Suppresses
- ansson
- eneric
- dzi
- efault
- istro
- iev
- شي
- ])[
- بيان
- ことがある