'from' after an excerpt or source noun
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. 6 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 'from' when it follows words like 'excerpt', 'scenes' or 'passage' and introduces where something came from. Turning it up made the model's replies drift toward books and passages, though the steered text was loosely related at best.
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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oval Cherokees by anti-removal Cherokees.<|endoftext|>Create your very own starry night painting inspired by the famous artist Van Gogh using items from around your house,
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to allow proper visual development. Ptosis repair is usually completed under general anesthesia in<|endoftext|>BBB - A+ Rating⏎- the best there is⏎An excerpt from www.HouseOfNames.com archives copyright © 2000 -
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to evaluate how the policy of coexistence has been implemented in the past ten years.<|endoftext|>BBB - A+ Rating - the best there is⏎An excerpt from www.HouseOfNames.com archives copyright © 2000 -
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their goal of developing instrumentation to measure plant photosynthesis and plant characteristics (greenness, leaf area index and biogenic emissions) on its campus.<|endoftext|>Excerpt from the book, Tithes and Offerings⏎Jesus told certain men that if
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period (1603-1868). It is a form of woodblock printing that was popular among the common people of Japan, depicting scenes from everyday life, landscapes, and popular culture. Ukiyo-e prints were affordable
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“artificial intelligence.” And while it may sound like something out of a science fiction novel, the truth is that AI is very real and it is
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 have been thinking about this as a result of the person's identity. So, for example, the person's identity is my name, and the person is the one who has a right to do something. The answer is "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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rather⏎than singular morphology (and a few languages where there is a split)⏎Swedish<|endoftext|>Old and New London: Volume 2. Originally published by Cassell, Petter & Galpin, London, 1878.⏎This
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slan is one of Techfrag's regular news writers. When not digging out news stories, he is found buried nose deep in fantasy novels, wasted listening to dubstep, or raging against Xbox Live kids. Need I say more?<|endoftext|>New
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in their September 1915 issue. The use of aerial detection to spot and report forest fires—dubbed the “Wisconsin Plan”—soon became a vital tool in fighting<|endoftext|>Books
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Breakfast replenishes the stores of nutrients and energy in your body. In the morning, after having not eaten for 8-12 hours, your glycogen stores are low. Eating breakfast boosts your energy levels so that your glycogen levels
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
- L4:2573 weakly suppresses
- L5:3005 weakly excites
- L5:1770 weakly suppresses
- L4:1811 weakly suppresses
- L1:2927 weakly suppresses
- L1:937 weakly excites
- L5:197 weakly excites
- L3:2828 weakly suppresses
- L1:2042 weakly excites
- L3:125 weakly excites verb right after a subject in clauses
- L3:2362 weakly suppresses
- L2:775 weakly suppresses
- L3:3026 weakly excites
- L3:1643 weakly excites
- L4:1533 weakly excites
- L4:1900 weakly excites
- L5:216 weakly suppresses
- L4:1241 weakly suppresses
- L5:1019 weakly excites
- L1:1957 weakly excites
- L5:1812 weakly suppresses
- L4:2288 weakly suppresses
- L3:1329 weakly excites
- L2:484 weakly excites
Feeds later layers
- L12:2889 excites
- L11:833 weakly excites
- L11:361 weakly excites
- L13:1515 weakly excites "your" before doctor or health provider
- L14:2626 weakly excites
- L17:1045 weakly excites
- L21:1595 weakly suppresses
- L12:2833 weakly excites
- L7:2571 weakly excites
- L14:1508 weakly excites
- L21:2285 weakly suppresses
- L18:2293 weakly excites
- L24:1957 weakly excites capital 'In' starting a word or name
- L14:1308 weakly excites
- L12:2692 weakly suppresses
- L25:1854 weakly excites
- L13:1405 weakly excites
- L7:1332 weakly excites
- L24:2711 weakly suppresses
- L20:3064 weakly suppresses
- L23:1088 weakly suppresses
- L18:1588 weakly excites
- L16:2824 weakly excites 'in' after 'published' or 'appears'
- L18:2731 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
- INET
- Discover
- journals
- _journal
- newsp
- 步步
- opard
- 《
- udder
- 工作中
Suppresses
- omo
- elize
- ARGS
- asto
- "@"
- aping
- yun
- 他们都
- hape
- endDate