unclear: 'or something' and open parentheses
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
The strongest triggers are phrases like 'or something' and an opening bracket after a name or term. The negative side is verbs like 'called' or 'referred' that come before a name. The pattern is mixed, and steering did not produce a clear theme.
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.
-
16 25.........⏎Basics: Divide integers to get integer outputs in all cases⏎Determine value using Look-up table method⏎Create Volcano (or Atoll) martix. It is an extension of Bullseye matrix
-
't see any code to exit out of the loop, IE it will continue to call it self over and over until the program finally kills the heap/stack or something. I don't quite know what it is...⏎Also, even if it wasn
-
from each protein. They all have to agree in their "chemical properties" - if you try to pair up a hydrophobic with a charged amino acid or something like that, the association will be greatly weakened or eliminated.⏎Some biological structures (
-
(motivation)⏎• High levels of creativity⏎EXP: Many gifted students find logical reasoning to be their preferred learning style, & for others linguistics may be (Language Arts & Math are not automatically synonymous – as if they’re gifted in one
-
the⏎major arc AB,⏎where you go the long way around the bottom of the circle. Unless stated otherwise, it always means the⏎minor arc - the shortest of the two.⏎If you want to indicate the major arc, add
-
evidence: verbal comments or remarks. For example, calling a woman "aggressive," but a man "a go-getter" could be interpreted as discrimi...(register to read more)<|endoftext|>How Does Fake News Work?⏎What is Fake News
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 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
monetary values of natural resources using an accounting system, or often referred to as Natural Capital Accounting, or NCA. Through NCA, natural resources
-
as its related contextual conditions. Although no single definition<|endoftext|>Early Church Views on Paul⏎1. Ebionites -- The First Christians⏎The earliest Christians were commonly called Ebionites, meaning "the Poor."⏎In G. Uhlhorn,
-
light that would pass through human tissue and to reveal details of the bones and tissue underneath. Because Roentgen didn’t know what the rays were, he called them “x”, meaning “unknown”.⏎The medical community and the public alike were
-
agreed to a Seagrass Charter drafted by Professor Mike Fortes to encourage countries to consider the values of seagrass when managing coastal environments.⏎This has been called the Bolinao Declaration and reads:⏎We, participants of the third International Se
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
- L18:2981 suppresses
- L17:2844 suppresses
- L12:2252 suppresses
- L4:2639 suppresses
- L16:2289 excites 'or' linking two alternatives
- L8:1219 suppresses
- L17:2445 suppresses
- L4:860 weakly excites
- L14:1172 weakly excites
- L4:368 weakly suppresses
- L6:1930 weakly suppresses
- L5:330 weakly excites opening parenthesis after a noun
- L18:1735 weakly suppresses
- L18:1844 weakly suppresses
- L15:1223 weakly excites
- L16:2661 weakly suppresses
- L13:1336 weakly excites
- L14:736 weakly excites
- L18:638 weakly suppresses
- L13:1181 weakly excites 'of' after a definition or noun
- L5:2125 weakly suppresses
- L12:2203 weakly excites
- L18:2675 weakly suppresses
- L14:2910 weakly excites
Feeds later layers
- L21:945 excites
- L22:684 suppresses
- L20:955 suppresses
- L21:2900 suppresses
- L20:382 weakly suppresses
- L20:570 weakly suppresses
- L21:293 weakly suppresses
- L22:2578 weakly excites
- L21:863 weakly suppresses
- L22:2721 weakly excites
- L25:2661 weakly suppresses
- L21:419 weakly suppresses
- L26:588 weakly suppresses
- L21:7 weakly suppresses mixed, weak code and reference hits
- L20:1372 weakly suppresses
- L21:404 weakly suppresses
- L22:345 weakly suppresses
- L21:2474 weakly excites
- L25:2463 weakly suppresses
- L21:1265 weakly suppresses
- L20:254 weakly suppresses
- L23:24 weakly excites
- L21:793 weakly excites
- L26:2890 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
- AtPath
- iator
- idge
- .getColumnIndex
- 的例子
- 但是对于
- hotmail
- 名叫
- sensed
- holster
Suppresses
- 作
- '])) ⏎
- *b
- as
- デ
- 作了
- Tr
- 做
- \'
- 'B