unclear: asterisk marker after a sentence
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. 0 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 weakly reacts to a star or asterisk mark that comes right after a sentence or in code, such as a bullet or a pointer. The signal is faint and the pattern is not clear, and turning it up did not show a clear effect.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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the teacher and classroom through positive reinforcement, high expectations and discipline instills independence and enhances students growth. * IMPORTANCE OF CLASSROOM MANAGEMENT :- Effective classroom management paves the way for the
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effectively removed from MB, Connecticut, and Rhode Island.⏎The Chesapeake: Bacon’s Rebellion and the Anglo-Powhatan Wars are the second supporting idea. * Nathaniel Bacon, an aristocrat in western Virginia and member of House of Burg
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enough to be trees. This may take a year or two.⏎There's nothing "GMO" about this. These are breeding techniques and processes that were developed *before* the idea of genetic engineering which is the biochemical creation of specific advantageous mutations
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Encomienda, the New England Confederation, and the Fur Trade, Dutch and French.⏎New England: King Phillip’s War is the first supporting idea. * The New England Confederation put to the test during war with Indian chieft
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what I'm trying to do with those declarations. Humans read code, and humans infer things from the code that will be necessary to work on it.⏎typedef void * model_3d_ref;⏎model_3d_ref load_model_from_disk(const
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(S.W.), the New England Confederation and the Fur Trade Dutch/French (N.Y. &N.F.) is the third supporting idea. * Amerindians forced to do unpaid labor to build roads, buildings, and other
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 am thinking of the problem of the type of the car, and the car's performance, and the car's safety and maintenance, and the car's design, and the car's price, and the car's environmental and safety standards,
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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00) ⇒ #<marker at 100 in markers.texi>⏎;; Now insert one character at the beginning of the buffer: (goto-char (point
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as arguments. In such cases, the marker⏎stands for 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 (
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licensed health care professional who diagnoses, treats, operates and prescribes for any disease,
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. The regiment was mustered out in June 1865 at Nashville, and returned to Indianapolis.⏎Note Author: Shauna Borger<|endoftext|>|Product #: EMC5600046_TQ|⏎
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
None: this is the first layer.
Feeds later layers
- L4:701 weakly excites
- L18:2012 weakly excites
- L22:2035 weakly excites
- L16:1381 weakly excites
- L17:1833 weakly suppresses
- L20:2637 weakly suppresses
- L14:1821 weakly suppresses
- L21:349 weakly excites
- L5:1592 weakly excites
- L20:1571 weakly suppresses
- L3:630 weakly excites
- L26:1763 weakly excites
- L3:2407 weakly excites
- L8:2654 weakly excites
- L1:2197 weakly excites
- L1:1361 weakly excites
- L2:2119 weakly excites
- L4:791 weakly suppresses
- L15:639 weakly excites
- L5:2889 weakly excites
- L15:1976 weakly suppresses
- L10:2022 weakly excites
- L3:20 weakly suppresses
- L27:2403 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
- reiben
- abbo
- 半月
- 大会上
- oped
- ês
- caliente
- FormsModule
- ündig
- icum
Suppresses
- [
- odel
- components
- segment
- **
- second
- invariant
- -stack
- powers
- **⏎