surnames in bylines and credits
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. 11 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 letters inside a person's surname, especially in author bylines and credits like 'Angela Raven-Roberts' or 'Priscilla Stuckey-Kauffman'. When it was turned up, the model's writing got stuck in loops and drifted off topic, so it does not clearly change the meaning of the text.
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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and Livia Visser-Fuchs:⏎“A ‘Most Benevolent Queen’: Elizabeth Woodville’s Reputation, her
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top scholars discuss the historical Israelites in Egypt and archaeological evidence for and against the historicity of the Exodus.⏎BAR coauthor Lily Singer-Avitz suggests that several finds discovered in the later strata, including Egyptian-style
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eating solids," Henderson said. "Both [of her children] have been pretty adventurous, both were willing to try things really early on."⏎Karen Sussman-Karten, 48, of Newton, Mass., noticed her three children nurs
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The Big Picture? An Afterword⏎PortraitDyan Mazurana is senior research fellow at the Feinstein International Famine Center, Tufts University. Angela Raven-Roberts is director of research and programs at the Feinstein Famine Center, Tu
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first proposed the idea for a national food security initiative.⏎"It is also about free trade without having to sacrifice a part of the economy," said Economics Minister Johann Schneider-Ammann.⏎While the expected vote
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after a baby’s birth, a period that has been dubbed the “magic moment.” The new study is the first to test that assumption, said author Christina Gibson-Davis. “It turns out the ‘magic moment’ lasts longer than conventional wisdom
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 first time, I don't know, the second time, and the second time, and the first time and the second time, and the second time, and the first time, and the second time, and the first time, and
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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body. This disease is also commonly known as Chhoti Mata. Whoever suffers from smallpox disease starts having itching and itching problems all over the body.⏎Reasons for chicken pox⏎There are many reasons for chicken pox, some
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wells are still in use.⏎The ancient city of Hegra/Al-Hijr bears witness to the international caravan trade during late Antiquity.⏎Criterion (ii): The site of Al-Hijr is located at a meeting point between various
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foods may trigger acne and other face conditions.⏎II. Foods to avoid if you have sensitive skin⏎Spicy foods, such as
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person from a disadvantaged background is both more likely to experience poor health and less likely to have access to the services and the care that they may need.⏎Fact 6: Ageism may now be more pervasive than sexism or racism⏎Ageism
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
- L9:2528 excites
- L0:2252 weakly suppresses
- L5:2988 weakly suppresses
- L5:221 weakly excites
- L2:1578 weakly excites
- L8:727 weakly excites
- L2:870 weakly suppresses
- L6:2160 weakly excites
- L10:1545 weakly suppresses
- L0:2013 weakly suppresses
- L7:501 weakly excites
- L10:634 weakly excites
- L5:2212 weakly suppresses
- L10:141 weakly suppresses
- L7:267 weakly suppresses
- L0:878 weakly suppresses 'because' after a claim
- L7:2064 weakly suppresses
- L7:1653 weakly excites
- L2:2422 weakly excites
- L7:1954 weakly excites
- L6:1361 weakly suppresses
- L3:2041 weakly excites
- L6:441 weakly suppresses
- L4:2389 weakly suppresses
Feeds later layers
- L12:3045 suppresses
- L13:2328 excites
- L15:2628 suppresses
- L12:421 excites
- L13:1112 suppresses
- L14:2169 suppresses
- L18:395 weakly suppresses
- L15:3064 weakly excites
- L12:1854 weakly suppresses
- L14:2531 weakly suppresses
- L19:1834 weakly suppresses
- L14:449 weakly excites
- L15:1097 weakly suppresses
- L16:1448 weakly suppresses
- L12:576 weakly suppresses 'of' in fixed phrases like table of contents
- L21:2694 weakly suppresses
- L13:700 weakly suppresses
- L16:498 weakly excites
- L13:1513 weakly suppresses
- L12:3030 weakly excites
- L23:1718 weakly excites
- L20:534 weakly suppresses
- L19:1748 weakly excites
- L13:1646 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
- ardon
- шение
- праздник
- 器
- erto
- functionName
- ClassName
- 慑
- (func
- ards
Suppresses
- ennie
- втор
- toDouble
- ña
- Omn
- Hai
- 雙
- НЕ
- Documents
- yo