ellipsis cut-off in quotes
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. 26 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 an ellipsis (three dots) placed where a quotation or excerpt has been cut short, like "wheel of his cart[...]". Turned down, the model repeated ".\"" and dots; turned up, it produced "</" tags and odd words.
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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nature to desire truth, goodness and beauty, and those are relevant to all humans in every culture, in every country, in every age.⏎READ ON BELOW…Don’t Sneer at Truth, Beauty and Goodness — You Were Made for
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physical<|endoftext|>Energy Transition has a look at the German "Energy Transition" to renewable energy and some of the misconceptions spread about it by its critics - Angst… that the Energiewende will work.⏎Unlike the Swedes and Italians, the
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The Preamble was several full clauses in the Articles of Confederation. Perhaps using the abbreviated version in the Preamble was saving too much paper. Just sayin….⏎We the People of the United States, in Order to form a more perfect
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, and its height was three cubits. …Now each stand had four bronze wheels with bronze axles… The four wheels were underneath the borders, and the axles of the wheels were
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odus 14:25 NASB⏎…the wheel of his cart… —Isaiah 28:28 NASB excerpt⏎A horizontal
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moving to a new web site. There may be some disruption of service from 3/23/13-3/24/13<|endoftext|>…In 197
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:." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ." ."
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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ke Ferdinand, and to the Emperor Maximilian II.⏎Mattioli's ` Commentarii in sex libros Pedacii Dioscoridis,' his chef-d'oeuvre, the gradual production and improvement of which occupied his leisure hours throughout his
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prevented!** The current recommendations from the 2005 Dietary Guidelines for Americans suggests that general, healthy members of the population consume no more than 2,300 mg of sodium.*** The American Heart Association recommends no more than
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time and distinguishing characteristics of the human psyche linked to the heavens above.⏎In the mid-eighteenth century the Qianlong Emperor, ruler of the Qing (Ch’ing) dynasty—a Manchu (not Chinese) by birth—was fascinated by
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their adult lives.⏎Over 16,250 genes were found within the 516Mb genome (the human genome has about 23,000 genes over 3Gb of DNA). Genes were found corresponding
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
- L21:1894 strongly excites
- L25:118 strongly excites
- L2:202 strongly suppresses "of" after "many" or "which"
- L19:89 strongly suppresses
- L18:48 strongly suppresses
- L16:41 strongly excites
- L0:117 excites
- L20:863 excites
- L21:173 excites
- L21:571 excites
- L23:35 excites
- L2:1753 excites
- L15:123 suppresses
- L20:8 suppresses
- L14:51 excites colon that introduces a statement
- L5:621 suppresses
- L9:7 excites
- L17:38 suppresses
- L20:2984 suppresses
- L16:170 suppresses
- L16:39 excites
- L16:86 excites
- L13:10 excites
- L0:1127 suppresses
Feeds later layers
- L27:1053 strongly suppresses
- L27:1801 suppresses
- L27:692 excites 'Ch' starting a proper name
- L27:487 excites
- L27:433 suppresses
- L27:136 suppresses
- L27:986 suppresses
- L27:66 excites
- L27:775 suppresses
- L27:114 excites
- L27:445 suppresses
- L27:1396 suppresses
- L27:841 weakly suppresses
- L27:2710 weakly excites
- L27:2098 weakly suppresses
- L27:2439 weakly excites slash inside web addresses
- L27:1706 weakly suppresses
- L27:637 weakly suppresses
- L27:2957 weakly excites
- L27:2777 weakly suppresses
- L27:1418 weakly excites
- L27:1078 weakly excites
- L27:2946 weakly excites
- L27:598 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
- ."⏎⏎⏎
- ."</
- .</
- ?"⏎⏎⏎⏎
- ."},⏎
- .'</
- ).⏎⏎⏎
- ?</
- '</
- ."⏎⏎⏎⏎
Suppresses
- ⏎⏎
- ⏎ ⏎
- ⏎
- ⏎ ⏎
- ⏎ ⏎
- ⏎ ⏎
- ⏎ ⏎
- ⏎→⏎
- "⏎⏎
- ⏎ ⏎