capital G starting names
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. 24 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 a capital G that begins a person's surname or a middle initial, like the G in 'Georges Gonthier' or 'P. G. Pessler'. It goes quiet or negative on the 'Gu' in place names such as Guiana and Guwahati. Turning it up produced repeated quotation marks, which doesn't obviously match the trigger.
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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,” he said. “But the computer proof may be just part of the game.” He also pointed out that proof generation and proof checking are quite different. Georges Gonthier, for example, used computers to formally verify the proof of the four
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we must pluck.’⏎Source: John Keats, 14 Feb – 3 May 1819, Selected Letters, ed. Robert Gittings (Oxford World Classics, 2002/200
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had been trying to crack for 2,000 years.⏎"If we can determine what that distance is, we can scale the solar system," explained Chris Giersch, education and outreach manager at NASA Langley Research Center in Hampton.⏎
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increases the rate of plant production and has been used for the elimination of diseases in certain plants.⏎Tissue Culture History⏎The first person to attempt cell culture was G. Haberlandt in 1902. He was unsuccessful, but
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Johannes Vogel, Beat Grenacher, Robert A. Jacobs, Margarete Arras, and Max Gassmann. Acute and chronic elevation of erythropoietin in the
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- The initial patchiness of this lesion with, until a very late<|endoftext|>Editor’s note: The following is extracted from Our Soldiers, by W. H. G. Kingston (published 1863). All spelling in the original.⏎
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: the place of a later material to the place of an earlier material in the material place place later material. It’s just that material to material, material to material, material to material, material to material, material to material, material to material
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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, the first of Europe's Automated Transfer Vehicles, was launched from the ESA spaceport in French Guiana early March 9. It linked up with the space station almost a month
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California's Guaymas Basin in the⏎"We have a huge problem on our hands," says
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ean Drama to each Unit are provided in the list of UG-CBCS Central University & State University Syllabus eg. Dibrugarh University and Guwahati University so that you can easily browse through different College and University Guide
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0742006000100003.⏎This article compares three eighteenth century evaluations about jesuitic missions among the Guaranis - Relação abbreviada da republica, que os religios
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
- L23:1489 excites
- L19:916 suppresses
- L20:350 weakly suppresses
- L20:236 weakly suppresses
- L22:1412 weakly excites
- L21:2864 weakly excites
- L19:1004 weakly suppresses
- L22:530 weakly suppresses
- L2:2029 weakly excites
- L18:202 weakly suppresses unclear: list commas and mixed tokens
- L19:860 weakly excites
- L13:58 weakly suppresses
- L19:688 weakly excites
- L5:46 weakly excites
- L17:1061 weakly suppresses
- L18:404 weakly excites 'get', 'go' and 'got' after a subject
- L21:2826 weakly excites
- L13:1856 weakly suppresses
- L22:384 weakly excites
- L23:1067 weakly suppresses
- L3:1423 weakly suppresses
- L16:1572 weakly excites
- L15:199 weakly excites
- L20:486 weakly excites
Feeds later layers
- L27:661 excites
- L27:315 weakly excites
- L25:1641 weakly excites
- L26:463 weakly excites digits inside years and numbers
- L25:2912 weakly excites
- L27:1255 weakly excites
- L27:1647 weakly suppresses
- L25:2628 weakly suppresses
- L25:44 weakly excites
- L26:2530 weakly excites
- L27:1084 weakly excites
- L25:776 weakly excites
- L25:368 weakly excites
- L25:1864 weakly suppresses
- L25:564 weakly suppresses
- L26:602 weakly excites
- L27:2312 weakly suppresses
- L26:1655 weakly suppresses
- L25:1991 weakly excites
- L26:2799 weakly suppresses
- L26:2957 weakly suppresses
- L25:1285 weakly suppresses
- L26:451 weakly suppresses
- L25:73 weakly suppresses
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
- "
- '
- "%
- “
- thất
- “
- so
- 「
- lege
- .dom
Suppresses
- OCI
- olib
- redund
- serter
- OV
- oci
- uries
- Oswald
- 喹
- suite