words before water, lava or magnetic fields
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. 22 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 word that comes just before a fluid or flow, such as 'flows of lava', 'magnetic field', or 'rinse with water'. When it was turned up, the model wrote more about water, clear liquid and currents. When it was turned down, the text moved toward talk about roles and positions.
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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.⏎Mount Etna volcano on the island of Sicily, Italy, started erupting again on Wednesday, sending flames and sparks into the air, and flows of lava down its slopes. The air space of the nearby
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⏎"This is an erupting volcano, showing the process of releasing lava and smoke. Volcanoes erupt because heat within the Earth melts rocks and creates a substance called magma. Magma rises and pushes through the Earths surface and the volcano erupt
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that eventually resulted from this discovery is driven by the Lorentz force, which is the force on an electric charge as it moves through a magnetic field. The development of traditional technologies such as fuel cells and the electric
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⏎Generation of Alternating Voltages and Currents⏎An alternating voltage may be generated⏎(1) by rotating a coil at constant angular velocity in a uniform magnetic field as shown in Fig. (a).⏎(2) by rotating a magnetic
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The presence of charged ions means that a plasma is highly electrically conductive and responds strongly to magnetic and electric fields. Its behavior is most comparable to that of a gas, as
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. As these products are not registered as FDA-approved, accidental ingestion may prove dangerous. If you are without an appropriate wash, the USDA suggests rinsing your produce with cold tap water and cleaning sturdy produce with a brush for further contaminant removal.⏎
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 role of a role in a business. A role is a position that has a certain job role, or a role in the life of a business. A role in the role, in the role, in the role, in the role
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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be applied, such as process water for breweries, bottled water plants and pharmaceutical facilities.⏎UV-C light, often referred to as Germicidal UV, exists between 200 and 280nm and is therefore invisible to the naked
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engine control unit will be able to control how much fuel gets injected into the engine. As you may know, there needs to be just the right amount of air and fuel mixed together in the internal combustion chamber of an engine.⏎Therefore, if the
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these products are still a must-own for any outdoor enthusiast.⏎There are two types of ultraviolet rays that can cause harm: long-wave UVA and short-wave UVB.⏎- UVA Rays: These cause the skin to prematurely age and
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uum 3 x 108⏎Air 3 x 108⏎Water 2.258 x 108⏎Glass 2 x 108⏎The change in speed causes the direction of light
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
- L10:2446 suppresses
- L20:1660 suppresses
- L15:2975 excites
- L20:2079 suppresses
- L11:1369 weakly suppresses
- L21:1634 weakly suppresses
- L10:2754 weakly suppresses
- L21:1325 weakly suppresses
- L21:2970 weakly excites
- L10:3067 weakly excites
- L21:2361 weakly excites
- L8:2392 weakly excites
- L10:1079 weakly excites
- L21:669 weakly excites
- L13:2978 weakly suppresses
- L21:240 weakly excites
- L12:1065 weakly suppresses
- L20:2611 weakly suppresses
- L10:1496 weakly suppresses
- L16:2464 weakly excites
- L9:1807 weakly suppresses unclear: mixed, health lists and 'weight'
- L17:2626 weakly suppresses
- L7:1439 weakly suppresses
- L3:1850 weakly suppresses
Feeds later layers
- L27:2614 weakly excites
- L26:2499 weakly excites
- L23:1675 weakly excites
- L26:1869 weakly excites
- L27:1417 weakly excites
- L25:447 weakly excites
- L24:1802 weakly excites
- L23:1220 weakly excites
- L27:2466 weakly excites
- L24:2135 weakly excites
- L27:1641 weakly excites
- L24:1698 weakly excites
- L24:1562 weakly excites
- L25:1365 weakly excites
- L24:621 weakly excites
- L27:469 weakly excites
- L24:2820 weakly excites
- L23:967 weakly excites
- L24:2137 weakly suppresses
- L24:576 weakly excites prepositions in fixed phrases
- L23:704 weakly suppresses
- L25:1964 weakly excites
- L25:2051 weakly excites
- L23:1887 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
- 水流
- flows
- 水
- water
- 流水
- 水量
- flows
- streams
- water
- liqu
Suppresses
- enda
- SetName
- TabControl
- 身份证
- 号码
- anny
- ecycle
- ích
- ROLE
- номер