text right before cut-off or boilerplate
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. 11 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 at points where web snippets get cut off or where a page's footer or boilerplate starts, like '...' before 'Continue reading' or a slash in a date. It is hard to read beyond that, and steering did not give 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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come from? John David Walters shares the origins of mathematical symbols, and … Continue reading⏎Delivery date: Friday, March 25th, 2016
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designed to have students analyze energy use, cost, and source patterns from household to regional scales and relate these patterns to CO2 emissions. This idea was generated at ...⏎Learn more about this review process.⏎Mentos and soda eruptions- lessons
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, hail, wind, and flooding. Significant research has been conducted to help predict thunderstorms to mitigate or avoid the hazards and damage. The development of thunderstorms...<|endoftext|>- This event has passed.⏎Mad Science: Red Hot Robots (Rising
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lights, laminar flow cabinets, and other biological safety cabinet components protect.⏎Read More @ https://cmibloginsight.blogspot.com/2023/05/biological-safety-cabinets-ensuring.html<|endoftext|>World
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gifts of the magi meant to save Jesus from the pain of arthritis? It’s possible, according to researchers at Cardiff University in Wales who have been studying the Read more…⏎Posted in Jesus/Historical Jesus.⏎11/04 | BAR
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the text of the 1999 State of the Union Address, and then determine how newspaper articles and television reports describe and analyze the event. Use this...⏎6th - 12th English Language Arts CCSS: Adaptable
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: and I am/ or can I/ or/ can/ I/ I have and or/ or. and and and/ or. and/ and/ and/ or. and/ or. and/ or. x and/ or.
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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have to] adapt. [Awareness of climate change] is<|endoftext|>- Created by: Luke Simons⏎- Created on: 06-04-12 19:17⏎1. Newton's model of the
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for the sign of the Prophet Jonah, “As Jonah was in the belly of the whale three days and three nights, so also shall the Son of Man be in the heart of
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. Ben Cohen. "The Racial Geography of the Federal Death Penalty" Washington Law Review (2010).<|endoftext|>Last updated 2/27/15⏎Isothermal Community College⏎P.O. Box 804
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ern at gmail.com⏎Fri Sep 10 00:10:22 CEST 2010⏎On 9/9/10 4:39 PM, Baba wrote:⏎> In below code
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
- L9:1750 excites
- L1:1868 suppresses
- L8:1516 weakly excites
- L7:727 weakly excites
- L5:2964 weakly suppresses
- L8:1992 weakly suppresses
- L10:1423 weakly suppresses
- L8:1725 weakly excites
- L7:1983 weakly excites
- L8:2753 weakly excites
- L6:1310 weakly excites
- L9:1855 weakly excites
- L5:2596 weakly suppresses
- L6:84 weakly excites
- L3:1841 weakly suppresses
- L9:2679 weakly suppresses
- L1:318 weakly excites
- L10:1991 weakly suppresses the word 'voluntary'
- L7:1469 weakly suppresses "(" before a year in citations
- L0:2843 weakly suppresses
- L3:740 weakly suppresses
- L5:2499 weakly suppresses
- L1:1970 weakly suppresses
- L4:1900 weakly excites
Feeds later layers
- L13:899 strongly suppresses
- L16:808 suppresses
- L15:2598 suppresses
- L12:1854 suppresses
- L12:1965 suppresses
- L13:1112 suppresses
- L15:1425 suppresses
- L19:3001 suppresses
- L18:1413 suppresses
- L14:843 suppresses
- L16:2880 suppresses
- L17:2704 suppresses
- L17:1468 suppresses
- L16:774 suppresses
- L25:801 suppresses
- L22:791 suppresses
- L14:2476 suppresses
- L20:742 suppresses
- L25:6 excites
- L17:1486 suppresses
- L15:941 suppresses
- L27:289 suppresses
- L17:483 excites
- L26:235 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
- hya
- means
- 怜
- uais
- 邻
- oque
- means
- ulp
- replaces
- Franc
Suppresses
- &C
- &
- &W
- &B
- &
- /&
- -and
- &_
- &D
- '&&