'of' after publisher or division nouns
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. 10 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 fires on the word 'of' when it follows words like 'reprint', 'imprint' or 'division', as in 'an imprint of Perseus Books'. It was quiet or negative on words that name a relation like 'replicas' or 'counterpart'. Turning it up gave text with no clear link to this pattern.
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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fact and to convinced ideas of rationality, its scope, and its effects for motion and enterprise.⏎This Elibron Classics publication is a facsimile reprint of a 1901 variation by means of the Macmill<|endoftext|>This question
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arian publication is a facsimile reprint of the unique. because of its age, it could comprise imperfections similar to marks
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-reactive chemicals used the well-known actinic light activated cross linking or hardening<|endoftext|>Quick Guide to AI and ML Universe for Business Leaders⏎This article was published as a part of the Data Science Blogathon.⏎Ever since the advent of Globalisation
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(36 pairs)⏎Box size: 3 x 3 x 4¼ in.⏎This item is published by PomegranateKids®, an imprint of Pomegranate Communications, and is CPSIA compliant.⏎⚠️WARNING:
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observatory in a site monitoring mode. The sensor array includes advanced conductivity, turbidity, pressure (depth) and current. Aanderaa, a division of ITT Analytics, has
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counter to Charlotte Brontë's “Jane Eyre” — is considered an integral part of the literary canon, but what makes her so great?⏎In celebration of the Royal Society of Literature’s 200th birthday, and the
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 role of a small in the world. The small of a small. The small of a small, etc. But this is a small. The small. The small. The small. The small. The small. The small. The
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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dynamic automated tutor. This tutor helps students, in a dialogue, to think through arguments in a strategic and systematic fashion.⏎In the TruthLab, the semantic counterpart to the ProofLab, students practice techniques for semantic analysis of formulae and arguments.
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between the divine and the human realm.⏎As expected, the goddess was given the name Iris, which is the Greek word for “rainbow.” Her name lives on in English in words like “ir<|endoftext|>Insight from WFPD: Defensive
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technologies (PAT) can help digitally clone manufacturing processes⏎There are a plethora of definitions and interpretations of what digital twins are. At their simplest, they are virtual replicas of physical entities that can be used to understand or predict real-world outcomes. These
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reveals how “ghost glaciers” have protected Greenland’s ancient bedrock landscapes from the island’s ice sheet.⏎“These ghost glaciers come and go, and leave very little evidence of their presence,” Corbett tells LiveScience. “There are indications that these
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
- L8:968 excites
- L5:1721 excites
- L9:750 excites
- L8:2256 suppresses
- L9:2885 excites
- L4:1536 suppresses
- L9:2035 excites
- L7:2869 excites
- L8:3067 suppresses
- L8:1359 excites
- L7:2458 weakly excites
- L8:2100 weakly excites
- L5:1427 weakly suppresses
- L3:1651 weakly suppresses "on" in "went on to"
- L8:1502 weakly suppresses
- L8:2519 weakly excites
- L8:1156 weakly suppresses
- L4:934 weakly suppresses
- L9:2200 weakly excites
- L4:1379 weakly suppresses
- L4:1133 weakly excites
- L8:825 weakly excites
- L9:1228 weakly excites
- L5:1633 weakly suppresses
Feeds later layers
- L16:1159 suppresses
- L16:961 suppresses
- L20:926 suppresses
- L19:1410 suppresses
- L11:1383 excites
- L20:3010 suppresses
- L22:1993 suppresses
- L11:2949 suppresses
- L20:1478 suppresses
- L17:460 suppresses unclear: word before 'first', 'last' or 'further'
- L13:1971 suppresses
- L11:2349 weakly suppresses
- L13:2536 weakly suppresses
- L13:71 weakly excites
- L11:1040 weakly suppresses
- L15:2284 weakly excites
- L14:1020 weakly suppresses
- L14:832 weakly suppresses modifier words before their head word
- L16:2270 weakly excites
- L12:1666 weakly excites
- L14:2458 weakly excites
- L17:488 weakly suppresses
- L15:1892 weakly suppresses
- L13:311 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
- ago
- anker
- AGO
- ẫu
- 所
- cleanliness
- ANGO
- samp
- sandbox
- -rated
Suppresses
- rets
- fcn
- .pref
- prêt
- 预制
- OperationException
- Peripheral
- chants
- ッグ
- httpRequest