'the' inside journal and institution 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. 14 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 word 'the' (or 'of') when it sits inside the name of a journal, society or institution, such as 'Proceedings of the National Academy of Sciences'. Turning it up made the model write repetitive, looping text that did not clearly relate to that pattern.
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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people vigilant and careful,” said psychologist Jack van Honk of Utrecht University in the Netherlands, who led the study published May 24 in* Proceedings of the National Academy of Sciences*.⏎In the study, a few dozen females received half
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, the results obtained may also lead researchers to perform similar studies in more clinically relevant models. Proceedings of the National Academy of Sciences USA (PNAS) has published the study online this week
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cultural heritage, the description rules for this structure originate from this area. The CIDOC CRM data model is used. CIDOC is a section of the International Council of Museums (ICOM), which in turn reports to UNESCO. CRM in turn
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Volcanism Program, 2007. Report on Macdonald (Undersea Features) (Wunderman, R., ed.). Bulletin of the Global Volcanism Network, 32:1. Smithsonian Institution. https
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ated muscle,” published in the Proceedings of the National Academy of Sciences, enlarges a growing body of work linking triclos
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and yet we have little understanding of what determines variation among individuals for voluntary exercise levels," Garland said.⏎Study results appear online Sept. 1 in the Proceedings of the Royal Society B.⏎The researchers began their experiments in 1993 with
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 will not. I will not. I will not. I will not. I will not. I will not... I will not... I will not. I will not... I will not... I will not... I will not.
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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magnetic quantities; a fourth dimension must be included. The different cgs systems arose from differing choices of the additional dimension. See:⏎The cgs electrostatic system of units⏎The cgs electromagnetic system of units⏎The cgs electric units were
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eyrat. Then, he set up his own business in Grigny, around ten kilometres from Lyon. Such partnership disbanded eleven years later letting Barrelon the only one who has signed his name on stained glasses made since 186
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, extensive research, surveys and finance.⏎The main participants in real estate markets are:⏎Overview of real estate markets⏎- Owner/User – These people are both owners as well as tenants. They purchase houses or commercial property as an investment and also to
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learn for yourself.⏎Converting Fractions - Decimals⏎Learn how to convert fractions to decimals and decimals to fractions. Includes practice problems.⏎Decimal Review - Add - Subtract - Multiply⏎Click on this straight forward review lesson about reading, writing,
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
- L10:105 suppresses
- L13:132 excites "of" after a noun
- L13:1046 suppresses 'in' or 'on' ending a phrase
- L9:29 excites opening parenthesis before an acronym
- L7:6 suppresses
- L11:18 excites
- L8:25 suppresses
- L11:31 suppresses
- L9:2717 suppresses
- L10:121 suppresses
- L13:212 suppresses
- L7:26 suppresses
- L5:5 suppresses digit after a label like paper or type
- L9:2417 excites
- L10:33 suppresses
- L9:39 excites
- L13:1006 excites
- L13:755 suppresses
- L8:307 suppresses
- L13:1552 excites
- L8:11 excites
- L9:1298 suppresses
- L9:7 weakly excites
- L9:270 weakly suppresses
Feeds later layers
- L15:2569 excites
- L15:376 suppresses
- L15:2045 suppresses
- L17:1775 excites
- L17:375 suppresses
- L15:1110 excites
- L15:2239 excites
- L15:1882 excites
- L15:1475 excites
- L15:891 suppresses
- L15:827 suppresses
- L16:1056 excites
- L20:1447 excites
- L15:229 suppresses
- L15:74 suppresses
- L15:42 excites
- L15:2425 suppresses
- L17:186 suppresses
- L16:412 excites
- L19:155 suppresses
- L16:2024 suppresses
- L18:467 excites
- L15:435 suppresses
- L15:1388 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
- !),
- очные
- оч
- яти
- !).
- 致
- '}}
- PowerPoint
- очных
- .PLL
Suppresses
- uilder
- atholic
- /root
- ansom
- ellaneous
- 郎
- 和其他
- ships
- construction
- Shib