pair and compound words in technical text
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. 22 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 responds to words in technical or list-like writing, especially the word 'pair' and words that join two parts together. Turning it up made the model repeat the word 'pair' over and over in some runs.
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.
-
ity Task Cards (CC) 9-13 Numbers and Operations in Base Ten Task Cards (NBT) 14-18 Operations and Algebraic Thinking Task Cards (OA) 19-23 Geometry Task Cards (
-
with warrantedly valid pointers. In contrast, C allows cyclic graphs of pointers, but pointers can be uninitialized, which is a nasty security hole. An eagerly evaluating functional language without hacks, would only allow for acyclic graphs of pointers.<|endoftext|>The
-
(distributed and heterogeneous) using explicit links known as trace links. The software development process often incorporates varied software artifacts like design documents, bug reports, test suites, functional specs, these artifacts can be located on different machines (servers). Software traceability
-
the German composer<|endoftext|>PANS and PANDAS are clinical diagnosis and based on whether presenting symptoms meet the diagnostic criteria, as set forth by National Institute of Mental Health (NIMH). Recognizing PANS/PANDAS
-
2⏎The word "focus" uses 5 letters: C F O S U.⏎No direct anagrams for focus found in this word list.⏎List shorter words within focus, sorted by length⏎All words formed from focus by changing one
-
elements of the array in reverse, we need to use a loop that will iterate from length - 1 to 0. We can use a for loop or a while loop to write this.⏎Let’s try this with a while loop:⏎given
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: a pair of tups – a pair of tups as a pair of pairs – a pair of tups as a pair of tups. A pair of tups as a pair of tups. A pair of tups as a
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
predefined attributes, which are name/value pairs inside an element's start tag. The following example specifies two attributes (version
-
Understand how to create parallelized collections and external datasets⏎- Work with Resilient Distributed Dataset (RDD) operations⏎- Utilize shared variables and key-value pairs⏎Module 3 - Spark application programming⏎- Understand the purpose and usage
-
with respect to the Fourier transform. From the convolution product he goes on to define what in other contexts is called the field of fractions or a quotient field. These ordered pairs of functions Mikusinski calls operators.⏎The set of functions
-
development; women<|endoftext|>There are many cases in which you need a 2 dimensional lookup. That means, if you want to get a value from a specific row-column combination with neither rows or
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
- L10:1457 weakly suppresses
- L19:2262 weakly excites
- L4:1802 weakly suppresses
- L20:2786 weakly excites
- L6:12 weakly excites
- L16:2518 weakly excites
- L18:2294 weakly excites
- L18:569 weakly excites
- L11:1750 weakly suppresses
- L18:859 weakly suppresses
- L6:13 weakly excites
- L17:1389 weakly excites
- L1:2949 weakly excites
- L15:2595 weakly excites
- L7:1686 weakly suppresses the word 'directly'
- L9:2010 weakly excites
- L3:189 weakly excites
- L20:951 weakly suppresses
- L10:2272 weakly excites
- L18:999 weakly suppresses
- L10:2600 weakly suppresses
- L16:1269 weakly suppresses
- L20:244 weakly excites
- L17:2751 weakly excites
Feeds later layers
- L27:2365 suppresses
- L24:2720 suppresses
- L26:367 suppresses
- L26:977 weakly suppresses
- L26:1617 weakly suppresses
- L23:573 weakly suppresses
- L27:2338 weakly excites capital P starting a name
- L27:1275 weakly suppresses
- L23:1960 weakly excites
- L25:407 weakly excites
- L26:1457 weakly suppresses
- L24:440 weakly excites
- L23:357 weakly suppresses
- L27:346 weakly suppresses
- L25:856 weakly suppresses
- L23:1347 weakly excites
- L27:654 weakly suppresses
- L24:2390 weakly suppresses 'poly' word-start fragment
- L27:1648 weakly suppresses
- L25:2629 weakly excites 'scripting' before 'language', language loops
- L25:298 weakly suppresses
- L23:1772 weakly excites
- L26:2395 weakly suppresses
- L26:2059 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
- imiento
- 发展阶段
- 发展中
- 手里
- nét
- heid
- icont
- ignon
- neh
- setback
Suppresses
- pairs
- pair
- pairs
- pair
- _pair
- Pair
- Pair
- _pairs
- Pairs
- .pair