unclear: document boundaries and digits
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. 10 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 is hard to pin down. It fires most on the hidden end-of-document marker that web pages sometimes contain, and on some digits inside ISBN numbers and web addresses. Turning it up gave no 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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:<|endoftext|>Copyright © University of Cambridge. All rights reserved.⏎'Aim High' printed from
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:<|endoftext|>The hamstring muscles – the biceps femoris, semitendinosus,
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be the owner of a collection of Late Byzantine Mosaic Icons… but there is no proof for this. https://www.academia.edu/39903340/Displaying_an_Icon_The_Mosaic_
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0240.<|endoftext|>By 2003, plenty of data suggested that pesticide drift was harming
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article helpful?<|endoftext|>Given that this is the first U.S. presidential election since apps have made their
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Ehrlichia canis in naturally infected ticks and sequence analysis of p30-10 of E canis from diverse geographic regions.(opens in new tab)⏎Journal of Clinical Microbiology⏎Suleyman FelekY Rik
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: How do I get to the point where I can express my thought about the topic of science. What is the level of expression? I need to be able to express my thought via any medium and form of expression. Level of expression. I
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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roll, Lewis. Alice in Wonderland. Macmillan Children's Books, 2015. 208 pp., ISBN 9781447279990<|endoftext|>It won’t be wrong to
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American Studies scholar Jean O’Brien: Drop Dead<|endoftext|>Note: Supplemental materials are not guaranteed with Rental or Used book purchases.⏎- ISBN: 9781908049490 | 19080
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HyperParameters:⏎Gradient descent takes small steps to reduce the loss of a model. Gradient descent
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much more!⏎Discover the world of gorillas and other primates their remarkable intelligence and social behavior⏎66 pages; ISBN 9780756668082⏎, or download in⏎More
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
- L9:1115 weakly excites
- L9:1532 weakly excites
- L4:1183 weakly suppresses
- L8:1874 weakly suppresses
- L6:1057 weakly excites
- L9:214 weakly excites
- L7:826 weakly suppresses
- L8:346 weakly suppresses
- L0:2648 weakly excites
- L7:1008 weakly excites
- L3:60 weakly suppresses
- L3:2722 weakly suppresses
- L9:74 weakly excites
- L4:2166 weakly excites
- L8:327 weakly suppresses
- L3:702 weakly excites
- L8:2926 weakly suppresses
- L9:1489 weakly excites
- L7:170 weakly suppresses
- L3:109 weakly suppresses
- L6:2157 weakly excites
- L8:2200 weakly excites
- L8:447 weakly suppresses
- L0:467 weakly excites
Feeds later layers
- L11:1047 suppresses pieces of software and library names
- L13:2523 suppresses
- L14:1248 suppresses
- L12:71 weakly suppresses
- L11:1072 weakly suppresses
- L19:913 weakly suppresses
- L14:2069 weakly excites
- L19:1717 weakly suppresses
- L25:412 weakly suppresses
- L16:910 weakly suppresses
- L20:1284 weakly suppresses
- L16:2782 weakly excites
- L16:2579 weakly suppresses
- L11:2326 weakly suppresses
- L11:2295 weakly suppresses
- L11:502 weakly suppresses
- L27:952 weakly excites
- L11:2535 weakly suppresses
- L16:73 weakly suppresses
- L13:1354 weakly suppresses
- L20:1904 weakly excites
- L16:46 weakly suppresses
- L16:86 weakly suppresses
- L21:1550 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
- ophon
- ธร
- ACP
- >Main
- vanished
- onPage
- çi
- aji
- Magnet
- 込まれ
Suppresses
- {}.
- nte
- 纹
- ngle
- otypes
- 骤
- regation
- 千万
- quires
- 类型