middle letters of capital acronyms
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. 11 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 the inside letters of acronyms and abbreviations, such as the 'EP' in 'CEP' or the 'ND' in 'GND', where the word is only partly written. Its strongest negative responses come from the middle of long words and names, not from acronyms. Turning it up gave text that did not relate to acronyms.
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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percent. This may extend eligibility to additional schools that could benefit from CEP. It may also increase the financial viability of electing CEP and maximize federal reimbursement. From school year 2013 to 2
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<|endoftext|>Thread: FNG methods of attack question⏎05-06-2006, 05:45 PM #1⏎FNG methods of attack question⏎I read this a couple times and I'm still confused
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Functions,⏎Spreadsheets in Education (eJSiE):⏎2, Article 1.⏎Available at: http://epublications.bond.edu.au/ejsie/vol8/iss2/1<|endoftext|>Some may argue that sleeping is
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⏎A recent poll from Data for Progress shows that 60 percent of U.S. voters support the GND. This support has materialized in local GND movements in every part of the country. And it’s not just in the U
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82571(R); Published: 29-Nov-2022, DOI:10.35841/ aaajmr-6.11.155⏎Citation: Wook Y
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companies or industries and applicable to their projects and products.⏎The STE specification is maintained by the ASD STEMG consisting of representatives from ASD member countries and non-ASD member countries. The STEMG was originally formed in 1983 as
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: What is the value of the function f(f(f(f(f(f(f(f(f(f(f(f(f(3))) f(x)),3) f(x),3 f(x) x(3) x(3) x(3)
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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Illustrated Bible Dictionary, Third Edition,⏎published by Thomas Nelson, 1897. Public Domain, copy freely.⏎Bibliography InformationEaston, Matthew George. "Entry for Tamarisk". "Easton
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stampings, often in E-I shape pairs, but other shapes are sometimes used. Shields between primary and secondary may be fitted to reduce EMI (electromagnetic interference), or a screen winding is occasionally used.⏎Small appliance and electronics transformers may
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02. He was unsuccessful, but hypothesized that hormones were necessary for proper development of plants in culture.⏎The first such hormone was IAA (Indole-acetic acid) in 1934. The use of IAA led
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Smoke levels may be lower indoors but will still be elevated, so stay aware of your symptoms even when you are indoors.⏎Running a commercially available HEPA (high efficiency particulate air) filter
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
- L10:118 strongly excites
- L10:1747 strongly suppresses
- L8:1175 excites
- L10:576 weakly excites
- L7:12 weakly suppresses
- L4:817 weakly excites
- L0:2860 weakly excites
- L7:1404 weakly excites
- L10:2833 weakly suppresses
- L7:60 weakly suppresses
- L9:478 weakly excites
- L9:2275 weakly suppresses
- L5:1569 weakly suppresses
- L4:1931 weakly excites
- L8:2599 weakly suppresses
- L7:941 weakly suppresses
- L8:167 weakly suppresses
- L0:434 weakly excites
- L8:1271 weakly excites
- L10:2226 weakly suppresses
- L6:736 weakly excites
- L3:529 weakly suppresses
- L1:2051 weakly suppresses
- L0:16 weakly excites
Feeds later layers
- L13:2904 suppresses
- L17:1710 suppresses
- L12:614 excites
- L13:1045 excites
- L14:1098 suppresses
- L12:2137 suppresses
- L13:2722 suppresses
- L13:116 excites
- L12:627 suppresses
- L16:1734 suppresses
- L14:828 excites
- L13:1235 excites
- L15:1146 suppresses
- L14:1815 suppresses
- L21:1776 suppresses
- L14:2131 suppresses
- L12:541 excites
- L18:1308 suppresses opening parenthesis before an acronym
- L13:2790 suppresses
- L12:871 excites
- L14:2722 excites
- L12:1303 suppresses
- L12:1514 suppresses
- L18:1630 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
- ела
- STL
- akers
- HIS
- aceutical
- HSV
- ザー
- ipse
- aked
- weets
Suppresses
- anni
- 的能量
- owning
- 奈
- utow
- owan
- inin
- PropertyName
- pot
- ruk