opening parenthesis after citation author
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. 8 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 reacts to the open bracket that comes right after an author's name in a reference list, as in "Cuenca, C. (2019)." Turning it up made the output drift into odd, unrelated text, so the steering shows little about 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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larval mantis shrimp behavior remains elusive, their ultraviolet vision highlights the extraordinary visual adaptations of miniature marine creatures.⏎CONTENT PROVIDED BY⏎Congdon, O. (n.d.). How is a mantis shrimp’s vision like<|endoftext|>Part 2
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Vol 3118, Springer-Verlag, Berlin⏎Heidelberg New York⏎D., Lenoir, R., and McKenzie, N., (200<|endoftext|>1. About lithium⏎Lithium is a type of
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photography studio that Dalmau opened in 1854.⏎Download data is not yet available.⏎How to Cite⏎Cuenca, C. (2019). The The “Animated Polystereoscope
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., Lo, C.-M., Chan, K. S.-C., Chan, D. W.-O., & Chung, K. K.-H. (2014, July). Effectiveness of a tiered intervention model in
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.1080/13527266.2011.620764⏎BELK, R. (201
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of the approach taken and the justifications for⏎this approach, the following documents are recommended:⏎D., Lenoir, R., and McKenzie, N., (2004) Accessibility from scratch :⏎how an open focus contributes to inclusive
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 relationship between a person and their environment is a social relationship, which is important to understand. This is a question that could help you to think about the different ways in which people can be connected to each other, and how their connections are
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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cyon lotor (Carnivora: Procyonidae): evidence of infection control?⏎Parasites & Vectors volume 7, Article number: 405 (2014)⏎A large variety
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BMC Musculoskeletal Disorders volume 4, Article number: 4 (2003)⏎The purpose of this study is to
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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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was declared a conservation area.⏎Neil burn Drive was created.⏎Canmore place was erected.<|endoftext|>ERIC Number: ED379961⏎Record Type: RIE⏎Publication Date: 19
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
- L6:1470 weakly suppresses
- L7:2165 weakly suppresses
- L7:22 weakly suppresses
- L4:2915 weakly suppresses
- L6:252 weakly suppresses
- L6:2305 weakly suppresses
- L3:1824 weakly suppresses
- L7:2426 weakly excites
- L2:617 weakly suppresses 'result' and 'results from' in science prose
- L2:2950 weakly suppresses
- L7:1037 weakly excites
- L6:1783 weakly suppresses
- L7:2807 weakly excites
- L0:2721 weakly excites
- L7:402 weakly suppresses
- L7:1263 weakly excites
- L0:1895 weakly excites
- L2:2523 weakly excites
- L6:2672 weakly excites
- L7:1133 weakly suppresses
- L5:1452 weakly excites "Al-Aqsa" and "Lunar Module" name parts
- L0:2197 weakly suppresses
- L3:482 weakly suppresses
- L7:1059 weakly suppresses
Feeds later layers
- L9:71 weakly excites
- L21:384 weakly suppresses
- L11:600 weakly excites
- L15:1488 weakly excites
- L26:799 weakly suppresses
- L9:33 weakly suppresses
- L27:177 weakly suppresses
- L16:2922 weakly suppresses
- L21:135 weakly suppresses
- L12:1457 weakly suppresses
- L25:2913 weakly excites
- L15:1169 weakly suppresses
- L15:2112 weakly suppresses
- L14:1904 weakly suppresses
- L19:1399 weakly suppresses
- L14:3017 weakly excites
- L9:1286 weakly excites
- L25:212 weakly excites
- L27:355 weakly excites
- L10:2013 weakly excites
- L14:2376 weakly suppresses
- L26:1794 weakly suppresses
- L16:870 weakly excites
- L16:2880 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
- udson
- ypy
- 咽喉
- 一起装修
- opleft
- ’on
- OnChange
- :///
- abar
- ::__
Suppresses
- contrasts
- 瞥
- iolet
- ucci
- veled
- ười
- olds
- лей
- 恭喜
- qed