opening parenthesis before a citation year
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 fires on the open bracket that comes right after a journal or book title in a reference, just before the year, as in 'Journal of Hydrology (1995)'. It is negative on open brackets in Lisp-style code examples. Turning it up gave text that did not show the citation 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.
-
icide and Social Change in China⏎- Cite this article as:⏎- Phillips, M.R., Liu, H. & Zhang, Y. Cult Med Psychiatry (1999) 23: 25. doi:1
-
redistribution policy in Brazil."⏎CITATION: Carlos Peres and Maurício Schneider. Subsidized agricultural resettlements as drivers of tropical deforestation. Biological Conservation (2011)<|endoftext|>Neuroimmune Toxicity Recovery Programs⏎Chronic
-
groundwater for hydro electric power generation⏎Bardsley, W.E. (1995). Using groundwater for hydro electric power generation. Journal of Hydrology (NZ), 34(1), 1-14.⏎Permanent Research
-
. Ben Cohen. "The Racial Geography of the Federal Death Penalty" Washington Law Review (2010).<|endoftext|>Last updated 2/27/15
-
T cells. The prominent spikes of the Env protein are visible under hight magnification. (Dewannieux, M. et al., Genome Res. (2006) 16: gr.55657
-
005⏎Please cite this report as:⏎Global Volcanism Program, 2007. Report on Macdonald (Undersea Features) (Wunderman, R., ed.). Bulletin of the Global Volcanism Network
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 power of a mind. When a person is able to understand the meaning of life, they can't help but admire the beauty of it. The beauty of life is... eternal, and it's something that I cannot grasp in my own
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
ifting has different aims that all are based on psychological motives, and these motives will be mentioned in this article.⏎- Showing love:⏎The theory of “symbolic interactionism”, argues that people communicate through symbols. For example, men buy flowers for
-
00) ⇒ #<marker at 100 in markers.texi>⏎;; Now insert one character at the beginning of the buffer: (goto-char (point-min)) ⇒ 1 (insert "Q") ⇒ nil
-
its current position.⏎Here are examples of creating markers, setting markers, and moving point to markers:⏎;; Make a new marker that initially does not point anywhere: (setq m1 (make-marker)) ⇒ #<marker in no buffer>⏎m
-
and is known only to the Butonian people on the Pulau Makassar. The study used the symbolic interaction theory by Herbert Blumer. The identification of six informers was deemed viable.
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
- L3:57 excites
- L4:64 excites
- L0:734 suppresses
- L4:2309 excites
- L4:45 weakly suppresses
- L5:275 weakly excites
- L2:1710 weakly suppresses
- L0:1252 weakly suppresses
- L1:2470 weakly suppresses
- L6:468 weakly excites
- L6:1352 weakly excites
- L4:1931 weakly suppresses
- L6:13 weakly excites
- L4:55 weakly suppresses
- L0:2639 weakly excites unclear: weak hits on 'holiday' and 'playing', negative on 'Ada-fruit'
- L7:122 weakly excites
- L4:3066 weakly suppresses
- L7:100 weakly suppresses
- L5:2970 weakly suppresses
- L5:1623 weakly suppresses
- L5:1287 weakly suppresses
- L1:2605 weakly excites
- L6:2219 weakly excites
- L2:2242 weakly suppresses
Feeds later layers
- L16:1513 excites opening parenthesis before a numbered list
- L19:453 excites
- L18:682 excites
- L10:1041 excites opening parenthesis before phone or code
- L9:1414 excites opening parenthesis after copyright or year
- L15:2486 excites bracket or parenthesis inside a quote
- L22:144 excites
- L10:66 excites opening parenthesis after a citation or term
- L17:304 excites opening parenthesis after a claim
- L17:1509 excites
- L12:2803 excites
- L12:1443 weakly excites opening parenthesis after a name or term
- L26:88 weakly excites
- L11:2191 weakly excites unclear: brackets and parentheses in text
- L14:2276 weakly excites opening bracket after a term or number
- L14:149 weakly suppresses
- L12:1180 weakly excites
- L18:980 weakly excites opening parenthesis after a noun phrase
- L21:1844 weakly excites
- L15:324 weakly suppresses
- L22:1637 weakly excites
- L15:344 weakly excites
- L21:1585 weakly excites
- L20:722 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
- 限り
- 截至
- stitutions
- 降价
- _),
- assum
- نك
- ,),⏎
- Dist
- Dist
Suppresses
- チーム
- 적으로
- igsaw
- сек
- rel
- .Attribute
- .Pattern
- electrónico
- ара
- �