ampersand in citation author lists
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. 15 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 "&" sign in academic citations that join the last two authors, such as "Pyszczynski, Solomon, & Greenberg". It stays mostly quiet elsewhere. Turning it up made the model write lists of items and topics with no clear link to citations.
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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ifying fears, and creating dependency. Reminding people of their mortality tends to make them hold more closely to traditional culture (Pyszczynski, Solomon, & Greenberg, 2003); this has implications for mental health,
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of trophic levels, can reach very high densities, often have noticeable effects on prey, and are commonly associated with human trade (Suarez, Holway & Ward, 2005; Snyder & Evans, 200
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in comparison with the previous term, mental retardation. An online questionnaire, based on the Multidimensional Attitudes Scale (Findler, Vilchinsky, & Werner, 2007), was
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a range of biodiversity applications such as modelling the distribution of communities, ecological refuges, potential impacts under climate change, and biotic interactions (Araújo & Luoto, 2007; Bradley, 2013
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intention has generally been insignificant among older and younger adults. (Courneya, Estabrooks & Nigg 1997) Unlike attitude, which tends to consistently account
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model, which can be used to predict a species’ potential occurrence across a landscape, have become a key part of ecological research and conservation planning (Guisan & Thuiller, 2005; Thuiller et al., 2
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 value of a person, or a person, in a society, as we go along, with a culture, where we accept, or something, that is, a culture, in which we accept, or, perhaps, the culture,
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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uo Huang, and Chia-Liang Chiang, "Purification Study of Pervious Concrete Pavbement," International Journal of Engineering and Technology vol. 5, no. 5, pp. 532-5
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ura.⏎Risks of thoracentesis are:⏎Serious complications are uncommon.⏎Broaddus VC, Light RW. Pleural effusion. In: Mason RJ, Murray JF, Broaddus VC, et al., eds. Murray
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in the world to stargaze.⏎"This is where the stars shine - they don't twinkle, they shine," Johnstone says. He spends as much time as possible gazing at the skies: "I haven't discovered anything of importance
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Bible Dictionary, Third Edition,⏎published by Thomas Nelson, 1897. Public Domain, copy freely.⏎Bibliography InformationEaston, Matthew George. "Entry for Tamarisk". "Easton
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
- L14:2253 strongly suppresses
- L14:2961 excites
- L14:837 suppresses
- L14:2812 suppresses 'between' after link or relationship nouns
- L14:1628 suppresses
- L13:706 excites
- L14:848 weakly excites
- L14:2675 weakly excites
- L1:2724 weakly suppresses
- L4:833 weakly suppresses
- L13:1088 weakly excites
- L11:1309 weakly suppresses
- L10:335 weakly suppresses commas in catalog, date, and list metadata
- L3:1887 weakly excites
- L12:1287 weakly excites
- L13:2416 weakly excites
- L14:2590 weakly suppresses
- L10:1580 weakly suppresses
- L13:824 weakly suppresses
- L10:330 weakly excites
- L14:2050 weakly suppresses
- L8:471 weakly suppresses
- L9:77 weakly suppresses commas in citations and name lists
- L6:502 weakly excites
Feeds later layers
- L18:862 strongly excites hedges like 'it turns out' and 'if any'
- L19:845 strongly excites
- L21:344 strongly excites
- L20:173 strongly excites
- L16:650 strongly suppresses
- L16:3060 strongly excites
- L26:236 strongly excites
- L25:438 strongly excites
- L20:276 excites
- L24:572 excites
- L26:22 suppresses the 'res' fragment inside words
- L24:216 excites
- L27:286 excites
- L24:642 excites
- L27:86 suppresses
- L18:1404 excites
- L24:6 suppresses
- L17:449 excites
- L23:100 excites comma or full stop ending a clause
- L17:735 suppresses
- L23:49 excites
- L20:1083 excites
- L26:2123 excites
- L17:1657 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
- ,",
- **,
- !,
- (),
- [],
- '/',
- !!,
- ~,
- \",
- ",",
Suppresses
- `).
- `)
- =").
- `.
- ").
- ").
- )。
- `;⏎
- ').
- ".