end-of-text right after cut-off 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. 20 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 invisible end-of-document marker that appears right after a sentence stops in the middle, like 'surgeons may work late-night or early-morning' followed by a break. Turning it up did not make the text clearly about endings, so the link to the steering output is unclear.
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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outside, but when the wind was blowing from the South Pole plateau, it felt a lot colder! You have to wrap up in many layers to stay warm –<|endoftext|>Why Gas Masks Are a Necessity for our Society⏎We live in very
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from the fenced perimeter, be prepared to possibly be stopped and answer their questions regarding your visit. The staff housing located not far from the main buildings are not secluded<|endoftext|>Do you know about Menstrual Hygiene Day, which is observed annually on
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from intense red or yellow to the golden or brown hue. Such meticulous care means that the dates you will buy in handy package at the store is rich in natural<|endoftext|>If you are conscious about your teeth, you must know how to take care of
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caught sight of a pale little girl with a thin neck, and spindling legs half-hidden in the folds of Aunt Frances’s skirts. But she didn’t<|endoftext|>Dec 6, 2023⏎Airbus has successfully passed the
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resistant” may be a special treat to hungry deer, as they munch on tender soft new growth. Like many other animals, deer have food they avoid, and<|endoftext|>Seven miles to the south west of Sheffield there's a piece of wild moor
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may be on call one day of the week or all week. Surgeons may work late-night or early-morning<|endoftext|>WK 4 SOCW 6443 Discussion 2: Psychoph
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: with the first tailed part of the main part of the main part of the main part of the main part of the main part, it's part of the main part. Wait, no, don't get the thing. Let's just
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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table with a specific name or index exists.⏎The following example retrieves a single table by name from the DataTableCollection.⏎Private Sub GetTableByName() ' Presuming a DataGrid is displaying more than one table
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Clause in oracle. In following section i would like to explain about the syntax as well as multiple examples of with clause.⏎With SQL_Query_Name As⏎Select * from New_SQL_Query_name;⏎Execution of With Clause :⏎In this section i would like
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Implementation⏎You can use OpenCV to manipulate the images.⏎pip3 install opencv-python numpy⏎Open up a new Python file and follow along:⏎import numpy as np⏎As you have to follow a few steps, I would suggest you go
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2: Extract Compressed Drupal⏎Extract the Drupal zip file in the /var/www/html directory using following command:⏎# cd /var/www/html⏎# unzip drupal-7.33.zip⏎It will create a folder as /
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
- L19:1616 suppresses
- L8:446 suppresses
- L19:2516 excites
- L16:2984 excites
- L19:1416 excites
- L19:2136 suppresses
- L19:2672 suppresses
- L15:1434 excites
- L10:1237 excites
- L19:3032 suppresses
- L12:1966 excites
- L16:2165 suppresses
- L17:1532 excites
- L9:1657 excites
- L13:1466 excites
- L7:537 excites period in a middle initial
- L17:1158 suppresses
- L17:1203 excites
- L13:2608 suppresses
- L17:1236 suppresses
- L18:932 excites
- L18:2040 suppresses
- L5:666 suppresses
- L9:1424 suppresses
Feeds later layers
- L21:7 excites mixed, weak code and reference hits
- L25:460 suppresses
- L21:105 excites
- L26:168 suppresses
- L25:5 suppresses
- L21:142 weakly suppresses
- L24:85 weakly suppresses
- L21:2070 weakly excites
- L25:94 weakly suppresses
- L21:838 weakly excites
- L23:354 weakly suppresses
- L25:2198 weakly excites
- L24:686 weakly excites
- L21:166 weakly suppresses
- L23:3 weakly suppresses
- L22:640 weakly suppresses
- L25:362 weakly suppresses
- L24:1043 weakly excites
- L21:696 weakly suppresses
- L26:69 weakly suppresses
- L21:1227 weakly suppresses
- L22:29 weakly suppresses
- L21:238 weakly suppresses
- L21:115 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
- forthcoming
- ปา
- 袱
- urrence
- istribution
- ocket
- istributions
- 告诉她
- unpack
- 诰
Suppresses
- ilated
- plate
- avn
- ivities
- main
- Tester
- enced
- ivity
- tester
- 五星