"time" in "it's time to"
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 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 fires on the word "time" in phrases like "it's time to leave" or "now it's time for". Turning it up made the model write unrelated, repetitive text.
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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occur some three weeks before Easter. These are called Sommertagszug (Summer Day Parade) and are basically a time when people tell winter that it’s time to leave.⏎Also, leading up to Easter
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you can hold in your hand. Using a rubber band, pipecleaner, or yarn, attach your “bristles” to your stick.Now it’s time to paint! Dip your natural brush in some paint and apply it to paper.
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your community. You have been elected to ensure that our children are prepared to make a positive difference in their lives and the lives of their children. It is now time to seize the opportunity. It is time to change history
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Pets||10 Simple Ways to Help Your Overweight Dog|⏎|Six Signs it’s Time to Change Your Pet’s Food||Top 5 Common Pet Owner Mistakes||
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necessary for makeup. Given their large potential for harm, I believe they should not be used in any personal care products,” Blum said. “It’s past time to get the entire class of PFAS<|endoftext|>International Confectionery’s Technical Editor
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mix two gases together):⏎Now it’s time for you to think,⏎For the TRUE vaccine is the one that turns PINK
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: Date: 25 Method: 2001 Technical Client: B. B. Client: C. C. Client: C. Client: C. Client: C. Client:
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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s County, Georgia. For several years, it has been the subject of a focused conservation effort by⏎the Service, North Carolina Wildlife Resources Commission, Eastern Band of Cherokee Indians, and Conservation Fisheries
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. Was a Cuban general reached second-in-command of Cuban Independence Army, that fought for several years.⏎He adopted the fight style
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and continue to lower the climate impacts of cotton production.⏎Because of fertilizer’s outsized impact on GHG emissions, Cotton Incorporated has launched a coordinated multi-state research initiative
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decisive event of the First Jewish-Roman War. The Roman army, led by the future Emperor Titus, with Tiberius Julius Alexander as his second-in-command, besieged and conquered the city of Jerusalem,
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
- L3:2658 excites
- L3:2532 suppresses
- L2:45 weakly excites
- L3:1563 weakly excites
- L3:2644 weakly suppresses
- L0:2071 weakly excites
- L2:2611 weakly suppresses
- L3:2556 weakly suppresses
- L3:2779 weakly excites
- L1:878 weakly suppresses
- L3:50 weakly excites
- L1:200 weakly suppresses
- L2:1557 weakly excites
- L0:2197 weakly excites
- L1:1464 weakly excites
- L0:1307 weakly excites
- L3:1022 weakly suppresses
- L2:2373 weakly suppresses
- L1:2912 weakly suppresses
- L3:456 weakly suppresses
- L0:408 weakly suppresses
- L3:2202 weakly excites
- L3:122 weakly excites
- L0:2940 weakly excites
Feeds later layers
- L10:562 excites
- L5:1701 excites
- L5:2794 weakly suppresses
- L5:1582 weakly suppresses
- L25:307 weakly excites
- L5:2538 weakly excites
- L6:2855 weakly excites
- L19:2854 weakly excites
- L8:1522 weakly excites
- L20:1483 weakly suppresses
- L16:2197 weakly suppresses
- L22:60 weakly excites
- L6:2530 weakly excites
- L14:200 weakly excites
- L25:2403 weakly excites
- L7:2602 weakly excites
- L12:1879 weakly suppresses
- L5:2615 weakly excites
- L14:2124 weakly excites
- L22:1130 weakly excites
- L14:1278 weakly suppresses
- L13:2373 weakly suppresses
- L20:1798 weakly excites
- L5:193 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
- que
- elines
- 满满的
- Ready
- -b
- blocked
- Placeholder
- edics
- 众筹
- queue
Suppresses
- изм
- 一致
- 一致性
- DAL
- CHANT
- _compiler
- inaire
- isas
- agre
- iona