the digit 1 starting a number
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. 26 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 digit 1 when it is the first character of a longer number, such as the 1 in 10,000 or 1,887 meters. When it was turned up, the model fell into repeating the word 'step', which fits the fact that it nudges the model toward words like 'step' and 'layer'.
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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1-24.⏎USDA zones: 5-9.⏎Heat zones: 9-5.⏎Height: 4-10 inches (10-25 cm).⏎Two to three-inch diameter spherical umbel of
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's heat shield after it was shed about two and a half minutes before the rover landed. In the photo, the heat shield is roughly 50 feet (16 meters) away from the spacecraft, and had just been separated about three seconds
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However, some people don't look like they're dead at all. Read on!⏎Tutankhamun lived from 1332 BC to 1323 BC. He is widely regarded as King Tut. When his tomb
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26 GMT, 1:26 p.m. PDT), after falling free from its parent aircraft while flying 39,000 feet (11,887 meters) above the Pacific Ocean.⏎"It was nominal,
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of other bodily tissues for fuel, such as fat and muscle. Every athlete is different, but most agree that it’s best to eat a carbohydrate-rich meal 1 to 3 hours before the big race to give the food time to digest and
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a long and rich history, dating back to prehistoric times. Early examples of Japanese art include Jomon pottery, which was created during the Jomon period (10,000 BCE to 300 BCE), and Hani
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: what if we can machines discover colors? colors that are not only colors but colors that can produce colors! Imagine colors that can influence the colors of the spaces! Imagine colors that can create colors! Imagine colors that can influence colors! Imagine colors
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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bits, or qubits, can encode both at the same time. This essentially enables quantum computers to work through multiple scenarios simultaneously, rather than exploring them one after the other. However, these mixed states don’t last long, so
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help and Operations Management homework help. Live tutors are available for 24x7 hours helping students in their Characteristics of Linear Programming related problems. We provide step by step Characteristics of Linear Programming question's answers with 100% plagiarism free
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Triangles Exercise 6.5 are given here. There are several questions in this exercise. Our subject expert teachers have solved each of these questions in a step by step manner. All these solutions are beneficial for the students of class 10
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money, they have to think outside of the box. Since the music became a digital product record sales give the wall to the royalties. The audience is changing step by step, now teenagers present a new type of people, they are “digital natives
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
- L25:1601 strongly excites
- L25:374 strongly suppresses
- L21:1888 suppresses
- L25:437 excites
- L23:465 excites
- L25:390 suppresses
- L23:731 excites
- L23:79 excites
- L22:1233 excites
- L19:2469 suppresses
- L23:1373 excites
- L22:260 suppresses
- L20:889 excites
- L22:811 suppresses
- L24:268 excites
- L22:653 suppresses
- L22:2089 excites
- L21:1730 suppresses
- L21:518 excites
- L20:602 suppresses
- L18:2629 suppresses
- L25:407 excites
- L21:971 excites
- L25:284 suppresses
Feeds later layers
- L27:687 excites
- L27:421 excites
- L27:726 suppresses
- L27:588 excites
- L27:551 excites
- L27:815 excites
- L27:209 suppresses
- L27:666 excites
- L27:1939 excites
- L27:521 weakly excites
- L27:1106 weakly excites
- L27:533 weakly excites
- L27:729 weakly suppresses
- L27:706 weakly excites
- L27:1504 weakly suppresses
- L27:122 weakly excites
- L27:434 weakly excites
- L27:2379 weakly excites
- L27:931 weakly excites
- L27:1615 weakly suppresses
- L27:96 weakly suppresses
- L27:335 weakly excites
- L27:2658 weakly excites
- L27:2945 weakly suppresses capital P in acronyms
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
- step
- layer
- step
- row
- chapter
- term
- line
- (step
- day
- element
Suppresses
- станов
- enames
- اث
- cabinets
- 累累
- createForm
- 澪
- جموع
- defaultMessage
- umes