word pieces inside cinnamon, China, cabar
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. 2 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 middle chunk of certain words, especially cinnamon, cinnabar and place names starting with C or Ch like China and Cilicia. Turning it up made the model's writing wander without a clear theme.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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Postharvest Diseases: Phacidipycnis Rot.⏎Speck Rot in Apple⏎This rot of apples is primarily caused by
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HIV-2.⏎The most effective extracts against HIV-1 and HIV-2, respectively, are the cinnamon bark of Cassia (Cinnamomum cassia) and the bud and fruit of the cinnamon (Card
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slightly toxic if it comes into contact with your skin. It can cause skin allergies and forms hydrogen sulfide if combined with stomach acids.⏎Made from the mineral cinnabar, Vermilion has been used in India and China since prehistory. The
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China. Most foods in the United States contain cassia cinnamon.⏎The distinctive smell and taste of cinnamon are due to the oily part, rich in the compound cinnamaldehyde, which is believed to be responsible for most of the health benefits
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food bank.<|endoftext|>Some infections, however, seem to attack the mental fabric directly; intrinsic toxic processes which may be suspected on the detection of neurin and cholin in the fluids of the brain (
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. government, has the goal of getting a vaccine approved in a far shorter time frame than a vaccine would normally take to be approved. Other countries such as Chine and Brazil are also working on creating a vaccine.<|endoftext|>2 Answers | Add Yours
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 need to be very nervous, and I can't make a decision. I need to be very nervous, and I can't make a decision. I need to be very nervous, and I can't make a decision. I need to
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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)⏎and E is the flux in W/m²⏎More about this formula and background on the material properties in Planck, Stefan-Boltzmann, Kirchhoff and LTE.⏎The parameter called emissivity is the focus of this article.
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this works but as the question asked for a simple answer I'll skip the math, google Maxwell's Equations and how they are used in the derivation of Kirchhoff's voltage law.⏎Batteries do make a good example for this simply
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eat them, the cranberry shrub grows in watery bogs and has been a celebrated part of medical and culinary history. Its use among the Iroquois as a blood purifier is well documented throughout early American history though the cran
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! With a little bit of patience and dedication, you'll soon start to recognize the patterns and symbols and become an expert in no time.⏎A Brief On Kirchhoff S Laws With Circuit Diagram⏎Circuit Topology And Laws Applied Electricity⏎
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
- L0:1301 suppresses
- L0:178 suppresses
- L0:1224 suppresses
- L1:1029 weakly excites
- L1:198 weakly suppresses
- L1:1099 weakly excites
- L1:538 weakly suppresses
- L1:1910 weakly excites
- L1:2318 weakly suppresses
- L1:1772 weakly suppresses
- L1:491 weakly excites
- L0:1634 weakly suppresses
- L0:819 weakly suppresses
- L0:1582 weakly suppresses
- L1:4 weakly suppresses
- L0:2413 weakly suppresses
- L1:2523 weakly suppresses
- L1:1464 weakly excites
- L1:2922 weakly excites
- L1:2648 weakly excites
- L1:1637 weakly excites
- L0:2159 weakly suppresses
- L0:2863 weakly suppresses
- L1:812 weakly suppresses
Feeds later layers
- L5:1889 weakly suppresses
- L3:2664 weakly suppresses
- L11:1632 weakly excites
- L5:355 weakly suppresses
- L8:306 weakly excites
- L15:677 weakly excites
- L5:1519 weakly suppresses
- L25:1524 weakly suppresses
- L22:1906 weakly suppresses
- L5:257 weakly excites
- L8:2472 weakly excites
- L3:2780 weakly excites
- L12:1025 weakly excites
- L25:2658 weakly suppresses
- L3:2839 weakly excites
- L8:2941 weakly excites
- L4:1700 weakly suppresses conservation laws and invariance
- L21:344 weakly suppresses
- L3:1978 weakly suppresses
- L17:2412 weakly suppresses
- L23:491 weakly excites
- L17:1941 weakly suppresses
- L13:437 weakly suppresses end of a short definition or claim
- L4:312 weakly suppresses 'that' after 'the way' or 'the first time'
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
- kl
- ULO
- funcs
- .Action
- kj
- �
- eks
- kh
- PLC
- shell
Suppresses
- дум
- 他们会
- 手腕
- adians
- arring
- thuật
- _gradients
- thead
- remembered
- malloc