newline right after a question
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. 5 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 the line break right after a question, such as 'Can vinegar and baking soda be mixed?', where an answer is about to follow. Turning it up did not produce any clear question-and-answer behaviour.
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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like cream of tartar). Because it already contains an acid, all it needs is moisture and heat added to activate it.⏎Can vinegar and baking soda be mixed?⏎Here are some recipes to try. Freshen your sink by mixing one part of
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continent. On average, they are responsible for the deaths of almost 3,000 humans every year.⏎What are the top 5 animals in Africa?⏎In Africa, the Big Five game animals
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a surname is Smith when the person’s full name is John Smith. A nickname or epithet added to a person’s name.⏎What is surname in Tagalog?⏎Translation for word Surname in Tagalog is : apelyido.⏎Is a
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like 2 years, though a really motivated and talented student might get there as soon as, say, 18 months.⏎Can I learn Hebrew for free?⏎Free Online Hebrew Courses, Systems and Tools⏎Glossika is an audio language
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adjusting the brightness of each of the three LEDs of the RGB LED; to adjust the brightness of each LED, you use a PWM signal.⏎Does PWM control RGB?⏎RGB LEDs are essentially three different LEDs combined into one to produce
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and “Dead” Signs The crab is stiff, can barely move and is also shedding its exoskeleton.⏎How do you know when a crab is molting?⏎A molting crab appears quite limp and lifeless, and the body is often
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 working on a problem in the form of a problem where I am thinking about... but the problem is just like... a problem in the form of a problem where... a problem where... a problem of... a problem of...
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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preview shows pages 1–2. Sign up to view the full content.⏎This preview has intentionally blurred sections. Sign up to view the full version.View Full Document⏎Unformatted
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. Students can use the textbook to find answers and explanations. They can also reread sections of the book to gain a better understanding of the subject.⏎Search for a Science Website⏎There are a number of science websites that cater to providing homework
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wrong<|endoftext|>External Web sites⏎Britannica Web sites⏎Articles from Britannica encyclopedias for elementary and high school students.⏎- Seneca Falls
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and is a natural by-product of gas<|endoftext|>DataTableCollection.Item Property (String)⏎Gets the DataTable object with the specified name.⏎Assembly: System.Data (in System.Data.dll)⏎If a DataTable name exists that matches the case of the search string,
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
- L4:1575 suppresses
- L4:1846 weakly suppresses
- L0:1547 weakly suppresses
- L1:1087 weakly suppresses
- L1:1188 weakly excites
- L4:1899 weakly suppresses
- L1:1911 weakly suppresses
- L2:461 weakly excites
- L2:59 weakly excites
- L3:1867 weakly suppresses
- L1:1895 weakly excites
- L4:134 weakly suppresses
- L4:1989 weakly suppresses
- L0:2427 weakly suppresses
- L2:208 weakly suppresses
- L0:1604 weakly suppresses
- L4:867 weakly excites
- L0:2614 weakly suppresses
- L2:2576 weakly suppresses
- L2:2888 weakly suppresses
- L2:2246 weakly suppresses
- L1:2658 weakly excites
- L0:1884 weakly suppresses
- L1:1616 weakly excites
Feeds later layers
- L13:1671 weakly suppresses
- L11:1277 weakly suppresses
- L11:2892 weakly suppresses
- L11:2801 weakly suppresses
- L17:2256 weakly suppresses
- L9:2151 weakly suppresses
- L9:827 weakly suppresses
- L26:1019 weakly suppresses
- L12:1306 weakly excites
- L7:1168 weakly excites
- L10:2127 weakly suppresses
- L11:1124 weakly excites
- L9:716 weakly suppresses
- L9:1305 weakly excites
- L16:1397 weakly suppresses
- L12:2287 weakly suppresses
- L23:1271 weakly suppresses
- L20:2438 weakly suppresses
- L13:1970 weakly excites
- L24:1694 weakly suppresses
- L13:1264 weakly suppresses
- L6:137 weakly suppresses
- L7:2366 weakly suppresses
- L18:2616 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
- otten
- PROTO
- ousing
- nf
- getDefault
- richest
- daf
- BackgroundColor
- ulas
- oster
Suppresses
- SPI
- ẳ
- bole
- Jud
- Requires
- 흐
- //}}
- spell
- 젝
- gaben