sentence-ending full stops
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. 17 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 lights up on the full stop that closes a sentence, especially near the end of a paragraph or a block of text. When it was turned up, the model's writing became repetitive or fell into lists of short lines, so it does not clearly control any single topic.
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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of our tutors. If you have any questions, please contact us at firstname.lastname@example.org or 410.837.5383.<|endoftext|>Microsoft co-founder Paul Allen has shown off the “
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amounts of meat, cheese may be as deadly as smoking.”⏎Note: We’re about to get science-heavy. You can scroll to the bottom for the takeaways. We’ve also summarized important points along the way.⏎The study itself was part epidemi
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practical applications include improved communications technology, television displays and night-vision devices.⏎Tags: Lene Vestergaard Hau, physicist, spped of light.<|endoftext|>The Real
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in labor input in a RBC model, not caused by real wage fluctuations, should be negatively correlated with consumption."⏎Choose 1 out of the following 2. Provide a strict formal argument. Worth 25 points.⏎7. Consider a
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We anticipate that this apparent violation of the generalized second law will disappear when solutions are available for black holes embedded in arbitrary backgrounds.⏎|Original language||English (US)|⏎|Number of pages||12|⏎|Journal||Classical and Quantum
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International Journal of Engineering and Technology vol. 5, no. 5, pp. 532-535, 2013.<|endoftext|>Following the Indian Ocean tsunami of December 26, 200
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 if the "normal" view of the way is, as an effort by the self: how can this be done by others, and by what does this, as a society, can be done by the most importantly, by what do
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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⏎- Old books/newspapers/leaflets etc⏎- Needle and thread⏎- Something pokey, like a screwdriver⏎- A ruler and pencil⏎Many artists are now working with recycled or more sustainable materials, and using their art
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fuel, chemical, and water meters.⏎Tools & Technology⏎Tools used in this occupation:⏎- Air dryers — Biomass dryers⏎- Batching plants or feeders — Reclaim feeders⏎- Belt convey
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a snack as often as every 1 to 2 hours during the day. Do not let yourself get too hungry or too full.⏎- Drink plenty of liquids.⏎- Try to drink between meals rather than with meals so that your stomach does
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that the ratio of the distace between any point of the curve and the focus to the distance of the same point from the directrix is constant. 2⏎n. -
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
- L16:2583 suppresses
- L16:1264 suppresses
- L15:1252 suppresses
- L15:410 suppresses
- L16:1047 excites
- L15:1347 excites
- L16:1767 excites
- L15:2201 suppresses
- L16:352 suppresses
- L16:2782 suppresses
- L14:393 excites
- L15:1774 excites 'only' in 'not only ... but also'
- L15:2666 weakly excites
- L16:1371 weakly excites
- L13:1261 weakly suppresses
- L15:916 weakly excites
- L16:359 weakly excites
- L13:618 weakly excites
- L16:1621 weakly suppresses
- L16:2398 weakly excites
- L13:1632 weakly suppresses words inside headlines and titles
- L14:1827 weakly excites
- L13:2771 weakly suppresses
- L6:74 weakly suppresses
Feeds later layers
- L18:1082 suppresses
- L18:1249 suppresses
- L19:1044 suppresses
- L18:1570 suppresses
- L18:1341 suppresses
- L18:572 excites
- L19:1940 suppresses
- L20:1162 suppresses
- L19:550 suppresses
- L20:692 suppresses
- L22:597 suppresses end of document token
- L20:44 excites
- L19:789 excites
- L19:1468 suppresses
- L18:1268 suppresses
- L19:975 suppresses
- L19:195 excites
- L19:909 suppresses
- L20:916 suppresses
- L19:1069 suppresses
- L18:593 excites
- L19:2210 suppresses
- L19:2057 suppresses
- L19:2031 suppresses line breaks in web footers and metadata
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
- entai
- *⏎
- itori
- Cons
- &⏎
- ",⏎
- ⏎
- %⏎
- ,⏎
- *,⏎
Suppresses
- 麽
- ivation
- ��
- Anyway
- awakeFromNib
- }):
- __).
- clarations
- $/)
- ]).