'of' and 'reign' after a place or ruler
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 fairly consistent: several of them 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 words that link a name to a title or place, like 'of' in 'District of Columbia' or 'reign' after a ruler's name. Turning it up did not produce a clear theme in the text that followed.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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60. The AMS also maintains an office in Washington, D.C.⏎Washington, D.C., formally the District of Columbia and commonly referred to as<|endoftext|>Organic Chemistry Laboratory 2⏎Factors A
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previous dynasty. In the fifth year of his reign, a coalition of Libyan tribes invaded the western Nile River delta on the
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, France was plunged into a succession crisis over which distant cousin of the king would inherit the throne. Militarily and diplomatically, Francis' reign was a mixed bag of success and failure. Francis and Henry were both obsessed
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provider:|| Postal: Katajanokanlaituri 6B, 00160 Helsinki|⏎Web page: http://www.wider.unu.edu/⏎More
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I (ruled 1359-89) were western Asia Minor and southeastern Europe, primarily the Balkan Peninsula. During Orkhan's reign the practice began of exacting a tribute in children from Christian subjects. The boys
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brother. The youngest brother was to be succeeded as grand prince by his eldest nephew whose father had been a grand prince. This succession pattern was generally followed through the reigns of Svyatopolk (1015–19);
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 country of the question. What is the current status of the country's economy? What is the current status of the country's technology? The question is, which of the following countries has the most people who have voted to your country?
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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: Mining World⏎Population: 300 (Custodial staff)⏎Geography/Demography: Caligine II is a small moon orbiting the Gas Giant Caligine. Before the Great Crusade, Cal
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, 1898, Spain ended diplomatic relations with America and the US Navy established a blockade of Cuba, marking the official start of
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Cold War. That was before scientists knew about the oceans on moons around other planets, before they knew about how tough microorganisms get here on Earth
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. Guidelines and consensus papers for AOM diagnosis and management were published in many countries. Our objective was to study the differences and similarities between these protocols in developing and developed countries.⏎Methods The keywords: ‘acute otitis media’ AND ‘children’
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
- L8:2427 excites
- L7:1312 excites
- L9:2496 excites
- L9:2539 excites
- L9:1944 suppresses
- L9:1680 excites
- L8:1231 suppresses
- L10:1793 suppresses
- L10:1540 suppresses
- L10:2134 excites towns and population nouns
- L6:2392 suppresses
- L10:1383 suppresses
- L10:1974 excites
- L10:2509 excites
- L9:2962 excites
- L10:138 weakly suppresses
- L9:2719 weakly suppresses
- L7:2001 weakly suppresses
- L10:2529 weakly excites
- L10:2260 weakly excites
- L5:1566 weakly excites
- L4:1818 weakly excites
- L10:772 weakly suppresses
- L6:2515 weakly suppresses
Feeds later layers
- L24:2306 suppresses
- L16:2238 suppresses
- L19:2778 suppresses
- L20:2863 suppresses
- L20:1288 suppresses
- L17:2997 suppresses
- L27:232 suppresses
- L27:1524 suppresses
- L22:1843 suppresses
- L21:2145 suppresses
- L21:2395 suppresses
- L19:2316 suppresses
- L21:942 suppresses
- L21:3051 excites
- L25:3071 suppresses
- L25:2455 suppresses
- L21:2476 suppresses
- L22:2455 suppresses
- L22:1142 suppresses
- L23:1249 suppresses
- L25:2826 suppresses
- L19:434 weakly suppresses
- L23:1087 weakly suppresses
- L20:1963 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
- чет
- 团队
- 腱
- 班组
- -team
- 객
- .getText
- Niet
- (class
- getCategory
Suppresses
- Countries
- countries
- Countries
- country
- eworld
- _country
- 本国
- nations
- 疆
- country