unclear: document ends and species 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. 16 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 mixed. It fires on the invisible marker where one web page ends and the next begins, and it is pushed down by odd spellings inside scientific names such as 'Phormidium'. Turning it up gave unrelated, wandering text, so it does not show a 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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After Effects using precomps!⏎Check back next week to learn the difference between frame rate and shutter speed, or view more lessons at the Vimeo Video School .<|endoftext|>Some time back I presented the untold story of Kebara 2, the
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and they wanted to do their Solar System puzzle each day as well!⏎I also highly suggest using our 100 page Solar System Printable with this unit.<|endoftext|>FORM AND
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Test which will give us reams of data to analyze to improve those responses and preparations. These tests also help us find the weak link in the chain of complex<|endoftext|>- THE
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increased amp-hour capacity from a parallel connection, understanding how these are different and the appropriate manner of charging your battery system is important in maximizing battery life and performance.<|endoftext|>A new set of MCQ Questions with Answer in the Computer Networking category. As
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tool. Follow this same procedure to use them. They take measurements fixed on their grid direction, even if the tool endpoints are not perfectly aligned to the grid.<|endoftext|>Khalistan Issue: A brief Analysis⏎Author: Isha Pandey⏎
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so happy to have you visit my site!⏎I hope that the travel guides, fun facts, and photography you find here will inspire you to explore new places!<|endoftext|>Will there be radiation when the mobile phone signal is shielded, and is it
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 question of the economic policy, but I can't find a way to solve it. But this is not a problem for me, but I can't find a way to solve it. But that's not a problem for me, but
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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and form biofilms that cover vast areas of water. Find out what happens when other microbes hitch a ride.⏎Get more reference information on Phormidium pseudpriestleyi.⏎Phormidium pseudpriestley
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Type INormal Type IANormal, air-entraining Type IIModerate sulfate resistance Type IIAModerate sulfate resistance, air-entraining Type II (MH) Moderate heat of hydration and moderate sulfate resistance⏎Types
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thousand would fit on a pinhead - but they grow in groups to form hair-like structures. Find out more.⏎The first samples of Phormidium pseudpriestleyi were collected in 1907 by scientists on
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of Missions for the Pacific, located in San Francisco (WBMP), and the Woman's Board of Missions for the Pacific Islands, located in Hawaii (WBMPI). The three mainland boards cooperated with the maleled American Board of
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
- L13:2410 strongly suppresses
- L6:1846 excites
- L4:47 suppresses
- L6:1074 suppresses
- L6:1151 excites
- L6:1100 suppresses
- L13:1964 weakly excites
- L11:42 weakly suppresses
- L6:293 weakly suppresses
- L7:9 weakly suppresses
- L8:62 weakly suppresses
- L14:248 weakly suppresses
- L12:1377 weakly suppresses
- L3:2660 weakly excites
- L15:37 weakly excites
- L5:1127 weakly excites
- L11:1635 weakly excites
- L12:2995 weakly excites
- L13:1100 weakly suppresses
- L15:785 weakly suppresses 'of' in set phrases like 'of course'
- L7:1644 weakly suppresses 'to' after a noun that needs a purpose clause
- L1:1384 weakly suppresses
- L3:2458 weakly excites
- L6:1058 weakly suppresses
Feeds later layers
- L19:2985 strongly suppresses
- L19:541 suppresses
- L19:2029 suppresses
- L18:767 suppresses
- L17:259 suppresses
- L18:1366 suppresses
- L24:774 suppresses
- L25:1175 suppresses
- L18:1708 suppresses
- L17:1566 suppresses
- L22:247 suppresses
- L23:290 suppresses
- L21:732 suppresses
- L24:1001 suppresses
- L20:131 suppresses
- L17:264 suppresses
- L20:272 suppresses
- L20:1476 suppresses
- L17:1423 weakly suppresses
- L20:1458 weakly suppresses
- L18:2557 weakly suppresses
- L17:163 weakly suppresses
- L26:380 weakly suppresses
- L19:812 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
- { ⏎
- {o
- WD
- phinx
- غزة
- 扆
- 葬
- {@
- 坎
- peated
Suppresses
- nEnter
- getView
- 病毒感染
- estar
- ьте
- @register
- chemas
- CursorPosition
- esan
- 查看详情