comma between author names in citations
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. 19 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 comma that separates an author's surname from their first initials in reference lists, such as 'Davis, L.M., Spackman, E.'. Its negative side is weak and unrelated. Turning it up or down gave text that did not clearly relate 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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, 2008⏎Publication Date: May 16, 2008⏎Citation: Davis, L.M., Spackman, E. 2008. Do crocodilians get the flu?
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Keywords: viral marketing, word-of-mouth marketing, consumption patterns, information traits, credibility.⏎ANTHEUNIS, M.L., & REIJMERSDAL, E.A. (2012). Social connections and the persuasiveness
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Whole System Simulation, Proceedings of the 13th USENIX Security Symposium, 2004.⏎Garfinkel, S. and Shelat, A., "Remembrance of Data Passed: A Study of Disk Sanitization
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an resistance to the host.⏎References[change | change source]⏎- Callmigration.org: Gene targeting⏎- Jang, Chuan-Wei; Magnuson, Terry (2013). "A novel selection marker for efficient DNA cloning
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week for signs of a white<|endoftext|>Disease induced changes in gene flow patterns among Tasmanian devil populations⏎Bruniche-Olsen, A and Burridge, CP and Austin, JJ and Jones, M, Disease induced changes in gene flow
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||Endangered B1ab(i,ii,iii,v) ver 3.1|⏎|Reviewer(s):||Butchart, S. & Symes, A.|⏎|Contrib
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: I have been I have been I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I
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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set of equations.⏎y = 2x +3 and 4y = –2x+10⏎On comparing y = 2x +3 and 4y = –2x+10 with y = mx + c
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- Statment 1⏎- Statement 2⏎Regex for checking if its a valid Either of Two words i.e., Either-OR⏎Test string examples for the above regex-⏎|Input String||Match Output|⏎|cho||does not
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ability⏎U.S. Department of Housing and Urban Development⏎The views expressed in this article are those of the author and do not represent the official positions or policies of
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413967-1-768x146-1-300x57.png 0 0 admin https://
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
- L18:1325 suppresses
- L17:2290 excites
- L17:2602 suppresses
- L17:1230 suppresses
- L16:1334 excites
- L18:2091 suppresses
- L17:1199 suppresses
- L18:1234 suppresses
- L18:1602 excites
- L17:2287 excites
- L16:1063 suppresses
- L18:3069 suppresses
- L13:2311 suppresses
- L18:3026 suppresses
- L18:1132 suppresses
- L17:1158 excites
- L14:1012 excites
- L16:2982 excites
- L15:1983 excites
- L17:171 suppresses
- L18:1727 suppresses
- L17:1079 excites
- L17:2948 excites
- L15:1341 suppresses
Feeds later layers
- L20:370 excites
- L20:439 suppresses
- L20:1189 excites
- L20:389 suppresses
- L21:112 suppresses
- L22:90 suppresses
- L20:165 suppresses
- L22:58 suppresses
- L20:1039 excites
- L22:99 suppresses
- L20:248 suppresses
- L20:400 suppresses
- L20:60 suppresses
- L22:79 suppresses
- L22:98 suppresses
- L22:84 suppresses
- L20:168 suppresses
- L22:80 suppresses
- L27:470 excites
- L22:128 suppresses
- L21:404 excites
- L22:112 weakly suppresses
- L22:73 weakly suppresses
- L23:54 weakly suppresses
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
- .simple
- уй
- Core
- RAD
- rad
- textual
- Moon
- SIM
- 旄
- owa
Suppresses
- ", ⏎
- Revenge
- ”),
- empre
- ”⏎⏎
- 禀
- ahead
- ", ⏎
- "), ⏎
- presso