reflect and reflection words
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. 23 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 reacts to words about light bouncing off surfaces, like 'reflect', 'reflected', 'reflective' and 'mirror'. When it was turned up, the model wrote about reflections and kept repeating the word 'reflection'.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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using a Cannon SLR camera and the expertise of our instructor, Sallyanne.⏎As we have explored the way light works we’ve seen how light can refract, reflect and be manipulated through translucent or opaque objects. With this in mind the boys
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μm. The absorptivity and emissivity around freezing point is 0.99 – meaning that only 1% of incident longwave radiation would be reflected.⏎Let’s take a look at the Planck curve – the blackbody
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arrange for special meetings outside of school hours. You may<|endoftext|>Definitions of focus⏎n. - A point in which the rays of light meet, after being reflected or refrcted, and at which the image is formed; as, the focus
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which photon emission is organized. Main parts of laser are power supply, lasing medium and a pair of precisely aligned mirrors. One has totally reflective surface and other is partially reflective (96 %). The most important part of laser apparatus is laser
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missivity is the ability of a material to radiate energy. When heat or light energy—typically from the sun or HVAC system—is absorbed by glass it is either shifted away by air movement or re-radiated by the glass surface.⏎Typ
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⏎solid, liquid and gaseous forms respectively.⏎Physical Properties of Minerals⏎Minerals can be identified by their hardness,⏎colour, the way they reflect light (lustre), the⏎way they break (cleavage and fracture), and⏎
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 two main things that would be key to a successful, competent, and competent team as well as a competent and competent team would be the two key things, and the two key things are the same thing. Okay, okay, so
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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the desert air.⏎So it appears that they have been homophones, at least in the London dialect, for over four hundred years.⏎Wordsworth (1770–1850) also appears to have only used the one
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- IUCN Status:Least Concern<|endoftext|>Introduction to Lead Screws⏎Lead Screws are remarkably common components, and can be found in engineering environments operating lathes, CNC machines or complex robotics, but they can just as commonly be found
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ray passes from a substance of one density into a substance of different density, the speed of light changes and bending of light occurs.⏎In air, light travels at 3 x 108 m/sec but in water, it travels only about
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æ are often called aphis-lions. Also called golden-eyed fly.⏎- n. Melithreptus lunulatus, a small species of honey-eater.⏎GNU Webster's 1
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
- L20:2287 suppresses
- L22:2259 excites
- L21:3067 weakly suppresses
- L22:2422 weakly excites
- L4:2849 weakly excites
- L10:1551 weakly excites
- L21:2965 weakly excites
- L10:780 weakly excites
- L4:2065 weakly excites
- L21:1630 weakly excites
- L4:1531 weakly excites
- L20:2709 weakly suppresses
- L0:3071 weakly suppresses
- L4:2390 weakly suppresses
- L9:2719 weakly excites
- L21:1015 weakly excites
- L22:2022 weakly suppresses
- L22:1746 weakly excites
- L6:2107 weakly suppresses
- L10:670 weakly suppresses
- L8:978 weakly suppresses
- L11:1940 weakly suppresses
- L3:2609 weakly suppresses
- L10:440 weakly excites
Feeds later layers
- L27:1531 strongly excites
- L25:2593 excites
- L26:1559 excites
- L25:1803 excites
- L24:157 weakly suppresses
- L26:2586 weakly excites
- L25:3066 weakly excites
- L25:2384 weakly excites
- L25:1494 weakly excites
- L25:2495 weakly excites
- L24:160 weakly excites
- L25:923 weakly suppresses
- L25:2395 weakly excites
- L24:2169 weakly excites
- L25:534 weakly excites
- L26:2349 weakly excites
- L24:852 weakly excites
- L24:2883 weakly excites
- L24:1360 weakly excites
- L24:1301 weakly excites
- L25:2525 weakly excites
- L24:836 weakly suppresses
- L24:259 weakly excites
- L25:1856 weakly suppresses
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
- reflect
- reflecting
- reflection
- reflective
- reflects
- 反射
- reflected
- Reflect
- Reflect
- reflections
Suppresses
- competency
- compet
- itzer
- 游
- 敦
- dragon
- 벨
- ERY
- iddy
- uffs