unclear: letter fragments inside 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. 4 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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 a short letter piece, often a lowercase 'l' or 'i', placed in the middle of a name or word, such as 'Frank-l-inton', 'Gold-il-ocks' or 'immunoglob-ul-ins'. It has no clear meaning beyond that. Steering did not produce a clear change.
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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of this publication.⏎- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable
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used.⏎Small appliance and electronics transformers may have a thermal cut out built into the winding.⏎Doughnut shaped toroidal transformers are used to save space compared to EI cores, and sometimes
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Columbus, was one of the original 15 settlers of the city. A baker by trade, Heyl came to bake for the soldiers quartered in Franklinton during the War of 1812. He founded the city's
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- 1999⏎African American Nurses have long history with the American Red -⏎Undeterred by initial rejection, Davis persisted and in l9l7 became the⏎first
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ther and Sister A brother drinks from a stream and turns into a deer just when the King and his hunting party ride through the woods.⏎The Frog King.Goldilocks and the Three Bears.More items….⏎Are folktales true stories?⏎
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dietitian, cooking instructor and cookbook author of the newly released "Big Green Cookbook" (Wiley, 2009). Newgent, a Fairlawn, Ohio, native, said she was motivated to write the book after learning
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 new and the future. The new and the future. The new and the future. The new and the future. The new and the future. The new and the future. The new and the future. The new and the future.
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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transformations can be specifically assigned for distinct functions such as image classification and segmentation," explains project lead Aydogan Ozcan, professor at the University of California's Samueli School of Engineering, "or they can be dedicated to computing different convolutional filter
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. He practised in several different towns, and became physician, successively, to the Archduke Ferdinand, and to the Emperor Maximilian II.⏎Mattioli's ` Commentarii in sex libros Pedacii Dioscoridis,'
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. The phase of the Moon is calculated daily in the Vedic calendar. Krishna Janmashatmi is celebrated from moonrise to midnight on the tithi of ashtami. Krishna Janmashtami is also known as Krishna Jay
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optical pyrometer has a range of measuring temperature of 1400oC to near about 3500oC.<|endoftext|>The “presidi” translates as “garrisons” (from the French word, “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
- L1:31 suppresses
- L2:549 suppresses
- L2:1097 suppresses
- L0:1224 weakly suppresses
- L3:1376 weakly suppresses
- L0:425 weakly excites
- L0:1301 weakly suppresses
- L0:178 weakly suppresses
- L3:2461 weakly suppresses
- L2:448 weakly suppresses
- L1:491 weakly excites
- L0:2873 weakly excites
- L3:59 weakly excites
- L2:75 weakly suppresses
- L1:45 weakly excites
- L1:2683 weakly excites
- L1:2362 weakly suppresses
- L2:1036 weakly excites
- L0:113 weakly suppresses
- L1:179 weakly suppresses
- L2:1536 weakly suppresses
- L0:116 weakly suppresses
- L1:994 weakly suppresses
- L2:2102 weakly suppresses
Feeds later layers
- L18:499 excites
- L25:1965 excites the digit 1 in age ranges
- L17:512 excites
- L5:142 excites
- L5:90 excites
- L6:1151 weakly excites
- L15:632 weakly suppresses
- L16:2259 weakly suppresses
- L18:2499 weakly suppresses
- L6:2953 weakly excites
- L5:340 weakly suppresses zeros inside long numbers
- L6:293 weakly excites
- L6:1831 weakly excites
- L8:880 weakly excites
- L18:785 weakly suppresses
- L6:236 weakly excites
- L25:2688 weakly suppresses
- L23:1661 weakly suppresses
- L20:416 weakly excites the "1" in years 191x
- L25:2170 weakly suppresses
- L7:9 weakly excites
- L7:2271 weakly suppresses
- L18:706 weakly excites
- L10:1025 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
- environmentally
- ",{
- spb
- ��
- �示
- ��
- 躬
- ude
- "),"
- �
Suppresses
- dm
- pun
- 名额
- FileType
- book
- ticking
- licher
- اما
- nim
- phot