opening parenthesis before a citation
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. 20 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
Fires on the open bracket that comes straight after a name, a noun or a claim, where a reference number or source name is expected, such as 'Allah (SWT)' or 'Imam Ja'far al-Sadiq (a)'. Turning it down made the model write lists of numbers in brackets like '(1) (2) (3)'.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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It is a significant clinical concern, affecting around 1% of the population and 3% of elderly people over the age of 80 in Western countries (1).⏎It is a wound that takes a long time to heal. It must
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Amaziah of Judah (אמציה) was a king of Judah, the son and successor of Joash, and the father of Azariah (Uzziah
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2:228)⏎Through the beautiful discourse of the Holy Quran and Sunnah, Muslims come to learn about the various rights that Allah (SWT) has enjoined upon His creation – in a practical and detailed manner
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the work itself is Serious Business. This tends to go with regarding one's career as a deeply serious matter too and is a prime source of humour on The Apprentice (the British version at least) - contestants who make out that their unremarkable
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a viable option for replacing fossil-fuel powered ones (6). Currently, high cost remains a barrier for Canadians wishing to access zero- and low-emission vehicles (6), but this may be overcome through government incentive programs available for those who purchase
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but is from Allah. And moreover, when ye are touched by distress, unto Him ye cry with groans.⏎It is quite clear from these words of Allah (swt) that He praises this act and dislikes mocking the concept of weeping
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: (1) (2) (3) (4) (5] (6] (7] (8] (9] (10] (11] (11] (12] [ (13]
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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is more comfortable to wear it over a shirt than as a single⏎piece of clothing.⏎Q4. What do you wear on veshti?⏎<|endoftext|>Copyright (c) Arvin S. Quist⏎INTRODUCTION TO CLASSIFICATION⏎THE NEED
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you will find 386 pages of resources to learn more about Caddo history and culture, https://scholarworks.sfasu.edu/cgi/viewcontent.cgi?article=4012&context=ita⏎Visit the THC
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|⏎|1||does not match|⏎Here is a detailed explanation of the above regex-⏎/^(?:chocolate|sweet)$/igm ^ asserts position at start of a line Non
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, and it is not every day. Leaning against the ears, so there is almost no harm to the human body.<|endoftext|>DUARTE, Calif.--(BUSINESS WIRE)--The American Association for Cancer Research (AACR) released
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
- L19:453 suppresses
- L17:304 excites opening parenthesis after a claim
- L18:980 suppresses opening parenthesis after a noun phrase
- L3:57 excites
- L18:1913 excites
- L9:339 excites
- L1:778 weakly suppresses
- L3:2991 weakly suppresses
- L14:72 weakly excites
- L16:827 weakly suppresses
- L1:1293 weakly excites
- L19:251 weakly excites
- L14:161 weakly excites
- L11:766 weakly suppresses
- L14:90 weakly suppresses
- L7:1527 weakly excites
- L1:1598 weakly suppresses
- L0:2066 weakly suppresses
- L15:114 weakly excites
- L13:259 weakly suppresses
- L1:57 weakly excites
- L16:749 weakly excites
- L12:878 weakly suppresses
- L0:302 weakly excites
Feeds later layers
- L23:224 suppresses
- L25:360 suppresses
- L26:13 excites
- L26:234 suppresses
- L27:218 suppresses
- L24:146 suppresses
- L27:344 weakly excites
- L26:378 weakly suppresses
- L27:318 weakly excites opening parenthesis after a name or term
- L26:459 weakly excites opening bracket before an acronym
- L27:542 weakly excites
- L25:367 weakly excites
- L26:392 weakly excites
- L25:121 weakly suppresses
- L21:1583 weakly suppresses
- L26:695 weakly excites
- L27:635 weakly suppresses
- L25:239 weakly excites
- L27:407 weakly excites
- L27:732 weakly excites
- L27:516 weakly suppresses
- L24:483 weakly excites
- L26:1331 weakly suppresses
- L27:19 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
- 有效
- or
- effective
- on
- hower
- 的商品
- ạch
- 的有效
- ILTER
- assuming
Suppresses
- (
- (
- (
- ](
- (
- `](
- }(
- (⏎
- "](
- _(