'of' inside organisation and product names
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. 7 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 lights up on the word 'of' when it sits inside a formal name, like 'Office of', 'Internet of Things', 'National Institutes of Health'. It stays quiet on 'of' in ordinary phrases. Turning it up mostly made the text wander without a clear theme.
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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in our time.⏎Melissa Rogers, a widely respected advocate for religious liberty who currently serves as special assistant to the president and executive director of the White House Office of Faith-based and Neighborhood Partnerships, also published a reflection on Religious Freedom Day.⏎
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the only basis of implementing quality improvement. The more granular the information, the more effective it can become.⏎If the only options are in-tolerance and out-of-tolerance, quality can degrade gradually. There is no ability to determine deteriorating
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for users to control their smart connected devices anywhere in the world, using their mobile devices. Smart connected devices can also be operated remotely using mobile applications.⏎The Internet of Things (IoT) is an upcoming technology that can be used to automate repetitive
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However, there is still no consensus on what exactly happens when Sars-CoV-2 invades the brain. Walter J., director of the US National Institute of Neurological Disorders and Stroke in Bethesda, Maryland. Korochetz said in a
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dramatically enhanced if these multiple electrons can be produced via a single-photon absorption event.⏎Research on carrier multiplication at Los Alamos is funded by the DOE’s Office of Basic Energy Sciences and by Los Alamos
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, drawing thousands<|endoftext|>Healthcare is rapidly evolving into a new era, where almost everything is connected through digital technologies. This introduction of IoT, IoMT (Internet of Medical things), and medical devices have been the driving factor behind more informed care delivery
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 first one, right after the one on the net, the one at the top of the circle, and so on, or the function, $f(x) $, with a graph of a real number, and so forth. 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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10(MAX^2/MSE) = 10 log10(MAX/(MSE)^(1/2))^2 = 20 log10(MAX/(MSE)^(1/2)). Therefore, PSNR =
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of the perpendiculars from X to the sides of a right angled⏎triangle. What position of X makes the length of PQ a minimum?⏎The circumcentres of four triangles are joined to form a⏎quadrilateral. What do you notice
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scale.⏎Items you will need⏎- Calculator with statistical functions⏎Define the bel and decibel. The bel is defined mathematically as LB = log10 (P1/P0) where P1 and P0 are two quanties
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⏎With this bond price calculator, we aim to help you calculate the bond price issued by a government or a corporation. Finding out the current bond price is one of the most critical procedures for bond investors, as miscalculating can lead to
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
- L5:1546 weakly suppresses
- L2:657 weakly suppresses
- L3:855 weakly suppresses
- L5:1040 weakly excites
- L1:2695 weakly excites
- L6:711 weakly suppresses
- L6:1465 weakly suppresses
- L3:1963 weakly excites
- L5:1154 weakly suppresses 'th' in ordinal numbers
- L5:424 weakly excites
- L5:2750 weakly suppresses
- L2:759 weakly suppresses
- L5:1620 weakly suppresses
- L6:357 weakly suppresses
- L3:2257 weakly suppresses
- L1:1422 weakly excites
- L0:630 weakly suppresses
- L4:2313 weakly excites
- L6:2027 weakly suppresses
- L2:589 weakly excites
- L6:298 weakly suppresses
- L5:2111 weakly suppresses
- L4:713 weakly suppresses
- L5:946 weakly suppresses
Feeds later layers
- L18:112 excites 'over' meaning time or duration
- L17:213 excites
- L10:1052 excites
- L16:177 excites zero digit inside dates and codes
- L20:392 excites
- L18:474 excites
- L8:318 weakly suppresses
- L21:381 weakly excites zeros inside long number codes
- L9:685 weakly suppresses
- L25:1654 weakly suppresses
- L19:2098 weakly excites
- L11:1712 weakly suppresses
- L27:882 weakly suppresses
- L27:2887 weakly suppresses
- L8:1285 weakly suppresses
- L22:2700 weakly suppresses
- L26:622 weakly excites
- L9:472 weakly suppresses
- L25:1411 weakly suppresses
- L20:348 weakly excites
- L18:1124 weakly suppresses
- L25:1950 weakly suppresses
- L19:1837 weakly excites
- L21:813 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
- adders
- ages
- adder
- 醯
- tighter
- UnderTest
- 不停的
- illegally
- tô
- 当他
Suppresses
- -default
- onomous
- minds
- な
- 幕
- Ầ
- RIX
- reap
- zer
- expense