document end, then unrelated text
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. 14 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 mostly switches on at the marker where one web page ends and an unrelated one begins. Turning it up gave repetitive, rambling text that did not clearly relate to the marker.
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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George in pudding-time came oer⏎And moderate men looked big, sir⏎I turned a cat-in-pan once more.⏎And so became a Whig<|endoftext|>The Pasteur Institute of Madagascar confirmed yesterday that a Madagascar village had lost at least
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–6. Warsaw, 1877–82.⏎Pamiqtki Soplicy. Warsaw, 1961.<|endoftext|>Translate this page into:⏎Approach to family assessment and intervention⏎All India Institute
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own how to get there in the same way they landed the jet five years before.⏎So, there are lessons here:⏎- Without leadership from the top, bottom<|endoftext|>Updated: Jun 1, 2020⏎Jaundice is
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$\quad+\quad$ or $\quad-$<|endoftext|>Design for a Mosaic⏎Albert Joseph Moore, ARWS 184
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, you’ll be able to face the situation better than those without critical thinking.⏎Thus these were some benefits of critical thinking and summarized elaboration of what it is<|endoftext|>Equalizing anchors are made up of more than one anchor point joined together so that
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difference between carbon-14 dating is a. That. Now read more of about request article dating.⏎Compare and contrast radiometric dating and relative dating⏎H<|endoftext|>Around 50.4% of men are suffering from male pattern baldness
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: To be a point of view of a point of view of a way of way of way of way of way of way of way of way of way of way of way of way of way of way of way of way of way of way
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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.⏎"Purchasing Power Parity Exchange Rates for the Global Poor,"⏎American Economic Journal: Applied Economics,⏎American Economic Association, vol. 3(2), pages 137-66, April.⏎- Angus Deaton & Olivier
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themselves as having a “self?”⏎Submit your assignment to the Discussion Area by Saturday, November 22, 2014.<|endoftext|>Latest posts by Jessica Edwards (see all)⏎- What will defy, embrace or become a disruption
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, he advocated for peace with the European Americans⏎Date de dernière mise à jour : 05/07/2021⏎Ajouter un commentaire<|endoftext|>By DANIEL SUDDEATH⏎NEW ALBANY —⏎Jud
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ia minor Tashiro and Kozai, 1989 (Aptian), G. crenulata (Matsumoto, 1938; Albian–lower Cenomanian) and G.
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
- L13:2171 weakly suppresses
- L13:1177 weakly suppresses
- L4:1170 weakly suppresses
- L1:146 weakly excites
- L3:2110 weakly excites
- L10:157 weakly suppresses end of document and web boilerplate
- L2:835 weakly excites
- L4:2084 weakly suppresses
- L11:87 weakly suppresses
- L10:2270 weakly suppresses
- L7:1757 weakly suppresses
- L12:2186 weakly excites
- L11:723 weakly suppresses
- L10:2232 weakly suppresses
- L12:3051 weakly suppresses
- L7:1800 weakly excites
- L13:1028 weakly suppresses
- L7:1514 weakly excites
- L10:267 weakly excites
- L4:61 weakly suppresses
- L10:2247 weakly suppresses
- L13:2553 weakly excites
- L11:3010 weakly suppresses
- L6:1404 weakly suppresses
Feeds later layers
- L16:2306 strongly suppresses
- L18:1501 strongly suppresses
- L25:360 suppresses
- L26:13 excites
- L16:508 suppresses
- L20:521 suppresses
- L26:234 suppresses
- L23:224 suppresses
- L15:1657 suppresses
- L27:218 suppresses
- L24:146 suppresses
- L20:758 suppresses
- L15:1640 suppresses
- L20:264 suppresses
- L16:2927 suppresses
- L19:900 suppresses opening parenthesis after a term
- L15:2652 weakly suppresses unclear: parentheses and word fragments
- L22:488 weakly suppresses
- L25:121 weakly suppresses
- L15:1968 weakly suppresses
- L15:2645 weakly suppresses
- L16:2979 weakly excites
- L15:497 weakly suppresses
- L20:2569 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
- ards
- ="<?=$
- ishops
- cks
- :normal
- )+"
- ="<?=
- pcf
- émon
- :“
Suppresses
- (
- (
- (
- (
- (_,
- (⏎
- ( ⏎
- ($)
- (@
- (�