sentence end before a line break
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. 24 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 at the end of a sentence or paragraph, on the full stop or comma just before the text moves to a new line. When it was turned up strongly, the model produced an endless run of blank line breaks.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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, delivering a smooth user experience. With the ever-growing demand for innovative apps, proficient coding skills have become invaluable for developers looking to make a mark in the industry.⏎The Challenges of Coding for Apps⏎Coding for apps presents its fair share of challenges
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the most effective and efficient way to get things done. In this essay, we will discuss the differences between hard work and smart work and analyze the benefits of each.⏎Hard work is often associated with putting in long hours and extensive effort to achieve a
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computer scientists got involved—at that point, things got downright ugly. As painful as it was for the computer scientists involved, the country is far better off for it.⏎The professional computing community is very familiar with the role of standards. Well-known standards
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28, part of the project will be dedicated to the development of a exaflop supercomputer that will be used for the simulation of the brain model.⏎Brain researchers are generating 60,000 papers per year,” said
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create a function in Arduino is vital for any programmer out there. With that said, we shall be discussing how to create a function in Arduino in today’s article.⏎In this article, you will learn how you can write functions and use them in
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dirty and start tinkering! With a little bit of patience and dedication, you'll soon start to recognize the patterns and symbols and become an expert in no time.⏎A Brief On Kirchhoff S Laws With Circuit Diagram⏎Circuit Topology
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 fact that, perhaps, the mind is a kind of kind of resource — perhaps — rather than a kind of resource — perhaps — rather than a kind of mind — perhaps — rather than a kind of mind. Maybe the mind is a
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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conservation area.⏎Neil burn Drive was created.⏎Canmore place was erected.<|endoftext|>ERIC Number: ED379961⏎Record Type: RIE⏎Publication Date: 19
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fuel, chemical, and water meters.⏎Tools & Technology⏎Tools used in this occupation:⏎- Air dryers — Biomass dryers⏎- Batching plants or feeders — Reclaim feeders⏎- Belt convey
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|⏎|Born||December 7, 1928⏎|Era||20th / 21st-century philosophy|⏎|
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. extremes in temperatures, sunlight, tight-fitting clothing, etc.)<|endoftext|>ERIC Number: ED348648⏎Record Type: Non-Journal⏎Publication Date: 1992-Apr⏎Reference Count: N/A⏎
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
- L19:187 strongly suppresses
- L18:2922 strongly suppresses
- L18:5 suppresses
- L20:1085 suppresses
- L17:829 suppresses
- L20:1081 excites
- L16:588 excites
- L19:441 excites
- L5:2007 excites
- L16:49 suppresses
- L13:10 excites
- L10:84 suppresses
- L5:203 excites
- L21:130 excites
- L15:81 suppresses line breaks inside running text
- L14:56 suppresses document ends and list line breaks
- L6:67 excites
- L3:70 excites
- L1:1279 suppresses
- L16:359 suppresses
- L5:238 excites
- L6:2030 excites
- L17:1568 suppresses
- L1:883 excites
Feeds later layers
- L27:1496 strongly excites
- L25:40 strongly suppresses
- L27:487 strongly excites
- L25:533 excites first letter m or oct fragments
- L27:1801 excites
- L25:91 excites
- L26:241 excites
- L26:156 suppresses
- L25:144 excites
- L25:248 suppresses
- L25:207 suppresses
- L27:256 excites
- L26:230 excites
- L27:200 suppresses
- L26:167 excites
- L26:1018 excites
- L26:1180 suppresses
- L25:297 excites
- L26:42 weakly suppresses
- L26:133 weakly suppresses
- L27:156 weakly suppresses
- L26:288 weakly suppresses
- L26:16 weakly excites
- L27:1305 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
- ⏎
- ⏎
- ⏎
- <|endoftext|>
- >⏎
- %%⏎
- __⏎
- ({⏎
- ⏎
Suppresses
- ?⏎⏎
- ?⏎⏎
- *****⏎⏎
- ?"⏎⏎
- ?”⏎⏎
- ues
- "?⏎⏎
- ******⏎⏎
- !.⏎⏎
- ?)⏎⏎