full stop ending a heading or label
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. 1 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 a full stop that closes a short heading or label, like "Topics." or "Eccl. Law." It goes quiet or negative on full stops and quote marks that end a full sentence. Turning it up or down did not clearly change the written 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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. If a larger rope was needed, three ropes could be twisted together to form anchor cable.⏎Topics. This historical marker is listed in this topic list: Industry & Commerce.⏎Location.
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brief, but when the facts are material they cannot be too numerous when the argument is pertinent and weighty, it cannot be too extended.⏎Eccl. Law. The name of a kind of papal rescript.<|endoftext|>Edward Hopper (
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I. Book I. Blood: The Tissues of Movement, the Vascular Mechanism. Sixth Edition. 10s. 6d. Part II. Book II. The
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be considered widespread, the pain must occur on both sides of your body and above and below your waist.⏎- Headache. Frequent headaches occur in a majority of children who have fibromyalgia.⏎
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during this period of growth, such as annual warm-season grasses or legumes where possible. You might also consider feeding hay or grain.⏎De-stock pastures. Livestock pressure on pastures can be reduced by selling unproductive livestock,
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own. This is a fabulous little book for parents and teachers to introduce children to the enchantment and magicality found in words. Highly recommended. 5 Stars. First reviewed for Readers Favorite.⏎by Fiona Ingram<|endoftext|>Fishing is both an art
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 have been thinking about how to be a good thing, and I have been thinking about how to be a good thing. Now, I have been thinking about how to be a good thing. Now, I have been thinking about how to
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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findings were recently published in PNAS⏎Our ideas of protein function have undergone a marked transformation with the discovery of an aspect of enzyme evolution called "moonlighting." That is, a protein can acquire a second (moonlighting) function without
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immediately set to work expanding that program and also establishing his family in a comfortable home on Cornell’s campus, along a stretch of East Avenue known as “Faculty Row.” The Bailey property became known as “Garden Home,” and the prefaces of
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recent introduction of new APIs and tools for the Java Server Pages (JSP) environment, marrying XML data to Java-based services and applications is easier than ever before. The September 17 release of the JavaServer Pages 1.2 specification
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goddess in Scandinavian was "Ostra," for Anglo-Saxons it was "Eostre," and the current region of Germany she was called "Eastre." See the
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
- L0:1224 weakly suppresses
- L0:348 weakly excites space token right after a period
- L0:178 weakly suppresses
- L0:470 weakly suppresses
- L0:509 weakly suppresses
- L0:1301 weakly suppresses
- L0:308 weakly suppresses
- L0:2855 weakly suppresses
- L0:1369 weakly suppresses
- L0:1453 weakly suppresses
- L0:1567 weakly excites
- L0:71 weakly excites
- L0:627 weakly excites
- L0:1241 weakly suppresses
- L0:625 weakly suppresses
- L0:2408 weakly excites
- L0:2475 weakly suppresses
- L0:999 weakly excites
- L0:1576 weakly suppresses
- L0:299 weakly excites
- L0:951 weakly suppresses
- L0:1473 weakly suppresses
- L0:378 weakly suppresses
- L0:609 weakly suppresses 'of' in 'mode of'
Feeds later layers
- L4:80 suppresses
- L11:879 weakly suppresses
- L5:402 weakly suppresses
- L16:659 weakly suppresses
- L21:190 weakly suppresses
- L18:1085 weakly suppresses full stops ending sentences
- L15:764 weakly suppresses
- L18:442 weakly suppresses
- L19:619 weakly suppresses
- L23:614 weakly excites
- L10:295 weakly suppresses
- L19:185 weakly suppresses
- L5:46 weakly excites
- L25:66 weakly suppresses
- L18:90 weakly suppresses
- L11:955 weakly suppresses
- L7:972 weakly excites
- L3:621 weakly excites
- L3:141 weakly excites
- L5:186 weakly suppresses
- L24:73 weakly suppresses
- L22:1911 weakly excites
- L2:12 weakly excites
- L13:73 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
- '</
- '</
- ippet
- nea
- orrh
- malink
- atég
- porto
- arness
- openh
Suppresses
- ---⏎⏎
- jadi
- зи
- =log
- ays
- כס
- 至此
- aying
- 围棋
- ["$