the word 'social'
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. 18 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 responds to the word 'social', most often in phrases like 'social media', 'social indicators' or 'social exchange'. It is almost silent otherwise. Turning it up made the text drift toward social and economic topics only occasionally.
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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different parts of the country facing similar challenges⏎- Stay ‘tuned-in’ to new priorities emerging that might affect your project⏎- Stay engaged with the wider social marketing community and the growing stock of
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critical to closing the digital divide, and essential for boosting economic growth. Internet access allows women to gain a voice, seek information, or expand their networks beyond existing social boundaries.⏎Yet, African governments are failing to spend funds collected specifically to connect the
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lot of time on their devices. With more free time at your disposal, evenings are a seemingly perfect opportunity to scroll through your phone and catch up on the latest social media posts. But do you know that using devices before bed can have a detrimental
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challenges in space security.⏎By entering this website, you consent to the use of technologies, such as cookies and analytics, to customise content, advertising and provide social media features. This will be used to analyse traffic to the website, allowing us
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change will disproportionately affect California’s most disadvantaged and isolated communities, according to a recent report from the Pacific Institute.⏎By looking at a broad array of factors – from social indicators such as income and birth rates, to environmental ones such as tree cover and
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cess, but they also function as a platform for social exchange. On weekends, funeral attire often dominates the public space. The clothing styles
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: what is the best way to get a good first line in a game is not to have an attack, but to have what they have to have to get a good first line is the first what they have to have what they have to have
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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This preview has intentionally blurred sections. Sign up to view the full version.View Full Document⏎Unformatted text preview: itself, and if ( ) ( ) lim lim x c x c h
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–2. Sign up to view the full content.⏎This preview has intentionally blurred sections. Sign up to view the full version.View Full Document⏎Unformatted text preview: 60 | | | | CHAPTER 1 FUNCTIONS AND MODELS Not
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of the moon. Its mission? To take pictures of this unexplored part of the moon, collect soil samples, and plant a mini garden. Awesome, right? So how successful has the Chang’e
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place.⏎Ready to start? Let’s dive in!⏎A little history of the SSL certificate⏎They say “to know your future you must know your past”, right? Put into a closer, business perspective, I’d rephrase that with “
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
- L16:241 weakly suppresses
- L17:337 weakly excites
- L6:16 weakly excites
- L16:332 weakly excites plural '(s)' in parentheses
- L15:785 weakly suppresses 'of' in set phrases like 'of course'
- L16:119 weakly excites
- L17:776 weakly excites
- L16:126 weakly suppresses
- L11:538 weakly excites
- L16:305 weakly suppresses
- L15:39 weakly suppresses
- L7:1614 weakly suppresses
- L16:359 weakly excites
- L7:122 weakly excites
- L2:3010 weakly excites
- L5:46 weakly excites
- L17:2812 weakly excites
- L0:2026 weakly suppresses
- L2:1755 weakly suppresses
- L3:1356 weakly excites
- L10:1305 weakly excites
- L17:542 weakly excites
- L16:142 weakly excites
- L0:2493 weakly suppresses
Feeds later layers
- L19:889 weakly excites
- L20:1684 weakly suppresses
- L21:2595 weakly suppresses
- L26:1592 weakly excites
- L21:2778 weakly excites
- L19:574 weakly excites
- L26:2441 weakly suppresses
- L26:1983 weakly suppresses the 'lo' fragment in loom and loaves
- L23:1135 weakly excites
- L24:2036 weakly suppresses
- L24:677 weakly suppresses
- L19:2189 weakly suppresses
- L20:792 weakly excites
- L19:2317 weakly suppresses
- L20:2383 weakly excites
- L24:508 weakly excites
- L26:1517 weakly excites
- L24:281 weakly suppresses
- L19:1001 weakly excites "be" after will or you'll
- L25:488 weakly excites
- L25:2726 weakly suppresses
- L26:2044 weakly suppresses
- L27:493 weakly suppresses
- L21:2523 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
- vement
- 蠊
- uated
- GN
- __',
- entar
- |-
- aces
- tempt
- venes
Suppresses
- 对自己的
- ight
- 对未来
- خت
- http
- 都会有
- 什么是
- lee
- 什么叫
- ération