period ending an opening topic sentence
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. 11 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
It fires on the full stop that closes the first sentence of a web article paragraph, the sentence that announces what the paragraph will discuss. Turning it up made the model ramble and repeat 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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, saving energy and reducing utility costs.⏎Choosing the Right Replacement Parts⏎When it comes to repairing or upgrading an HVAC system, choosing the correct replacement parts is critical. Quality parts ensure compatibility with the system and extend its lifespan. For example, using
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& remix collections to collaborate.⏎Organize your curriculum with collections. Easy!⏎Have time to be more creative & energetic with your students!⏎Students explore the Orange Revolution. In this Orange Revolution lesson, students examine the climate of the Ukrainian protest and investigate
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with...⏎10th - 12th English Language Arts⏎Lesson Plan: The State of the Union⏎Learners explore the state of the union. In this U.S. government lesson, students analyze the 1998
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trusts.⏎How and When Does a Living Trust Terminate?⏎The manner in which a trust terminates depends, to some extent, on the type of trust in question. If the trust is a revocable living trust or a testamentary trust,
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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. Developers must understand the unique requirements of the
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2, 2021, The Florida Fish and Wildlife Conservation Commission (FWC) met to discuss a myriad of topics that affect the South Florida area. Among the points of discussion, a major proposal made the agenda – to lift the
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 New and Beautiful" and the "Fruit of the Bean Tree." which of the most important and enduring consequences of human Value and Intelligence, Dimensions, Full Human Dimensions, and Series of Dimensions, Perhaps We Ever Betterment of All
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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tetracycline resistance was maintained in spite of the declining concentration of tetracycline. (C) 2002 Elsevier Science B.V. All rights reserved.⏎|Publication status||Published - 2002|⏎
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information.<|endoftext|>História (São Paulo)⏎On-line version ISSN 1980-4369⏎DOMINGUES, Beatriz Helena. The guarani jesuitic missions in the context of Enlightenment. História [
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to those before you that:-" If you join gods with Allah, your deeds shall be fruitless, and you surely will be one of those who lose. (all spiritual goodnesses)⏎THE HOLY QURAN - S39:
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to it (The surface tool only works on a single object). Now go into segment select mode and select all those extra loose segmenets and delete them. Hmm it looks like a rounded pipe to me . Lets<|endoftext|>Jonathan D. Jaip
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
- L10:478 suppresses
- L9:2302 excites
- L9:16 suppresses unclear: periods inside numbers and names
- L8:541 excites
- L9:2447 excites
- L10:1580 suppresses
- L5:155 suppresses
- L6:2302 suppresses 'and' joining two parallel items
- L4:7 excites
- L5:168 suppresses
- L6:250 excites
- L4:848 excites
- L10:612 excites full stop ending boilerplate or a title
- L5:1653 excites
- L9:1802 excites
- L3:259 weakly suppresses
- L8:361 weakly excites
- L3:671 weakly suppresses
- L0:476 weakly excites
- L2:9 weakly suppresses sentence-final periods vs dots in code
- L9:458 weakly excites
- L6:305 weakly suppresses
- L8:740 weakly excites
- L6:2621 weakly suppresses
Feeds later layers
- L17:347 excites full stops ending informative sentences
- L14:155 excites sentence-ending periods in prose
- L20:940 excites
- L16:1545 excites
- L18:791 excites
- L17:1105 excites
- L19:344 excites periods ending explanations
- L13:9 suppresses
- L17:1772 excites
- L12:1062 excites
- L16:432 excites period after month or initial
- L20:473 excites
- L20:962 excites decimal points and dots in numbers
- L20:505 excites
- L19:2097 excites sentence-end punctuation in speech
- L12:1837 excites
- L16:2535 excites
- L13:53 excites period ending a claim before elaboration
- L21:1086 excites end of sentence before a claim or statistic
- L19:94 suppresses
- L17:990 excites
- L19:384 excites
- L12:2141 suppresses
- L27:145 excites dots inside web addresses
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
- tering
- 目的是
- tracted
- 届时
- 不过
- 一方面
- 家都知道
- これ
- 回首
- 然而
Suppresses
- nostic
- y
- .&
- ィ
- chlor
- punto
- 万户
- olg
- horn
- 西部