full stop ending expository sentences
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. 0 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 lights up on the full stop at the end of a sentence in informational web text, such as articles about technology, health or the environment. It is weaker on some mid-sentence words like 'crucial' or 'innovative'. Turning it up made the model drift into generic, rambling sentences.
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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or Android, and adapt their coding practices accordingly. They face the challenge of optimizing app performance, ensuring compatibility across multiple devices, and addressing varying screen sizes and resolutions. Additionally, staying up-to-date with emerging technologies and frameworks is crucial to deliver cutting
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sources, kitchen appliances, health care equipment, automobiles, aircraft and more; and they play a vital role in making renewable energy sources more practical, viable and versatile. The basic facets of the battery and its sustainable and safe operation are explored. Also
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ecosystems can help to identify particularly vulnerable regions and be used for appropriate and sustainable planning and exploitation. Because of these important issues, the Faculty of Marine Sciences of King Abdulaziz
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to transform concepts into functional applications. It provides the means to create engaging user interfaces, implement complex algorithms, and integrate various features seamlessly. By leveraging programming languages such as Java, Swift, or Kotlin, developers can build
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technologies, databases on the fundamental properties of “nano-structured” materials, and other essential supporting tools and capabilities. U.S. industry and its university and government partners require these infrastructural technologies if
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Medications that are widely used to treat conditions from high blood pressure to mental health disorders can affect the ability to regulate heat. They can alter the body’s ability to sweat, change how it regulates temperature or
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 know the answer is A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U,
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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crucial to learning, however you need to search for worksheets that show the very same skills
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crucial to watershed protection around lake Yojoa. Negotiations were suspended due to changes
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innovative drugs have been introduced, from Pfizer's (<|endoftext|>Information identified as archived on the
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align with requirements such as HIPAA (Health Insurance Portability and Accountability Act) or GDPR (General
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
None: this is the first layer.
Feeds later layers
- L20:1266 weakly suppresses
- L3:910 weakly suppresses
- L25:2218 weakly suppresses
- L24:378 weakly suppresses
- L25:1964 weakly suppresses
- L3:372 weakly suppresses
- L21:1724 weakly suppresses
- L9:579 weakly suppresses
- L20:2117 weakly suppresses
- L26:1827 weakly suppresses
- L3:2316 weakly suppresses
- L4:659 weakly suppresses
- L11:2724 weakly excites
- L14:83 weakly suppresses
- L14:2631 weakly suppresses
- L17:652 weakly excites
- L17:1094 weakly suppresses
- L21:78 weakly suppresses
- L2:468 weakly suppresses
- L4:1773 weakly suppresses
- L18:1113 weakly excites
- L6:2452 weakly suppresses
- L19:2192 weakly suppresses
- L21:854 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
- erno
- なお
- 据此
- nowled
- Determin
- 的学习
- Determin
- accordingly
- uyar
- -cert
Suppresses
- winters
- yourself
- .offsetWidth
- HandlerContext
- ща
- ilitary
- Passwords
- jeu
- ):-
- :'/