mid-word fragments in foreign 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. 18 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 reacts to a piece of a longer word or name that has been chopped into several parts, especially in German, Dutch, Turkish or other non-English text. Turning it up made the model's output loop or wander, so the steering results do not show a clear meaning.
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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standards and⏎- researchers who need to evaluate measurement uncertainties that occur in their experimental studies.⏎For information about the admission requirements, please contact head of seminar Dipl.-Ing. Dr.techn. Markus Brandner<|endoftext|>Cross-Curricular SMSC at
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168 note) who remarks: — "Um dies (i.e. Varro's description of the extent of Roma quadrata) mit dem unten erörterten Pomerium und der Auffassung des Dionys. I
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Antalya-Türkiye’de doğdu. Lisans öğrenimini MSÜ Deniz Harp Okul
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stukken berustende bij de Vereenigde Doopsgezinde Gemeente to Amsterdam, 2 vols. Amsterdam: Uitgegeven en ten geschenke aangeboden door den Kerkeraad
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for a few seconds, is enough to kill most bacteria, viruses, or parasites. Toxins produced by bacteria<|endoftext|>Dit artikel staat op icthealth.nl. Link: https://ictandhealth.com/ucla-looks-into-
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as 1610 and first appeared in print in 1614 at Cassel. To the first two additions were prefixed the tract “Allgemeine and Generalreformation der ganzen weiten Welt”, a translation of Fr
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 am auser of the following: "I am a" or "I am a" or "I am a" or "I am a" or "I am " or "I am " or " I am " or "
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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steps and multiple levels earned his stage the name Treppenbühne (“stepped stage”). He utilized screens in the manner advocated by
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changes in music to reflect the themes of the readings.⏎On January 27, 1945, Soviet troops entered the Auschwitz-Birkenau extermination camp, the last extermination center still functioning under the Nazis.
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years, compared with 45 years back in 1900. But those gains have not been uniform across the nation. Columbia University economist Frank Lichtenberg reports in a new study that, while average life expectancy increased by 2
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This story did not appear in the Grimms’ collection until the sixth edition of the seven they produced. They found it in Frisian Archiv von Ehrentra
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
- L10:382 suppresses
- L16:1519 suppresses
- L15:65 excites
- L5:2841 excites
- L16:2127 weakly suppresses
- L5:2752 weakly suppresses
- L15:145 weakly suppresses
- L14:140 weakly suppresses
- L16:1044 weakly excites
- L11:516 weakly suppresses
- L17:2404 weakly suppresses
- L14:114 weakly excites
- L6:1751 weakly excites
- L4:2320 weakly suppresses
- L9:1026 weakly suppresses
- L9:791 weakly suppresses
- L9:499 weakly suppresses
- L8:931 weakly excites
- L3:1146 weakly suppresses
- L16:396 weakly suppresses
- L6:832 weakly excites
- L16:1206 weakly excites
- L16:663 weakly excites
- L10:2336 weakly suppresses
Feeds later layers
- L22:216 strongly suppresses
- L22:193 suppresses
- L25:239 suppresses
- L27:512 suppresses
- L24:141 suppresses
- L27:83 suppresses
- L27:38 suppresses
- L26:17 suppresses
- L19:2429 suppresses
- L26:263 suppresses
- L19:1377 suppresses
- L26:261 suppresses
- L26:199 suppresses
- L21:118 suppresses
- L21:29 suppresses
- L27:513 suppresses
- L27:318 suppresses opening parenthesis after a name or term
- L27:17 suppresses
- L27:19 suppresses
- L23:864 suppresses
- L27:807 suppresses
- L27:195 suppresses
- L19:699 weakly excites
- L21:214 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
- osopher
- haunt
- 笄
- イト
- ivism
- unveil
- ernity
- oader
- .Be
- hindsight
Suppresses
- fra
- userId
- del
- kop
- powers
- folder
- cro
- dimension
- labels
- 葡