acronym endings like HSUS and SDS
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. 3 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 fires on the last letters of capital-letter abbreviations, such as the 'US' in HSUS or the 'S' in SDS. It also goes strongly negative on weekday names in email date headers. Turning it up did not change the model's writing in a clear way.
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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beagle saved from a Michigan research lab in 2019 after an HSUS undercover investigation at Charles River Laboratories, is now the namesake for important bipartisan legislation
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very strong community of animal welfare advocates.⏎Molly Tamulevich, the HSUS⏎H.B. 4482 requires Michigan labs that use dogs and
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processes related to WTO Agreements such as agriculture, sanitary and phytosanitary measures (SPS), technical barriers to trade (TBT), trade-related aspects of intellectual property rights
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. Temperature range⏎4. Temperature display accuracy⏎5. Temperature stability⏎6. Temperature uniformity⏎7. Heating time⏎8. Internal material⏎SUS304 stainless steel plate, thickness 1.2
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wireless (not all warnings sent to the ship reached the bridge, and a nearby ship, the operator abed, missed Titanic's SOS). Very recently, from recovered wreckage, "Popular Science" claimed the hull was
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the entire tree until you see that there is little chance that the tree will<|endoftext|>Safety Data Sheet Information⏎Employers must ensure that the Safety Data Sheet (SDSs) are readily accessible to employees for all hazardous chemicals in their workplace. This
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 had a few weeks with a few months, and I have been thinking about it in the past. I am currently working on a few days. I have been working on it. I have been working on a few days. I have
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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chemistryFri, 3 Sep 2010, 12:51:40 EDT⏎- Martian rock arrangement not alien handiworkWed, 7 Jan 2009, 13:
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. // in Elliot Hildner / University of Bremen⏎The main crack<|endoftext|>analysis of algoritms⏎robert.kern at gmail.com⏎Fri Sep 10 00:10:22 CEST 2
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4 + 314 = 512<|endoftext|>[Haskell-beginners] Question about data structures⏎daniel.is.fischer at web.de⏎Wed Nov
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have been clear enough. ------------------ Come on in !! Drinks are on the house in the Big Moose Saloon !!⏎Udayan Naik<BR>Sun Certified Programmer for the Java <|endoftext|>Australia takes about 13 00
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
- L0:178 weakly suppresses
- L1:2115 weakly suppresses
- L0:1224 weakly suppresses
- L2:49 weakly suppresses
- L0:1301 weakly suppresses
- L0:2913 weakly excites
- L2:75 weakly suppresses
- L1:1029 weakly excites
- L0:188 weakly excites
- L2:1657 weakly excites
- L2:2009 weakly excites
- L2:84 weakly excites
- L2:493 weakly suppresses
- L2:1321 weakly suppresses
- L0:1329 weakly suppresses
- L2:1288 weakly suppresses
- L0:2476 weakly excites
- L2:1874 weakly excites
- L2:57 weakly suppresses
- L1:2234 weakly suppresses
- L0:1822 weakly suppresses
- L0:2675 weakly suppresses
- L2:70 weakly excites
- L0:732 weakly excites
Feeds later layers
- L4:2984 suppresses
- L7:2828 weakly suppresses
- L13:1373 weakly excites
- L16:139 weakly excites
- L16:135 weakly excites
- L18:2668 weakly excites
- L22:1127 weakly excites machine learning explanations, mid-sentence
- L16:898 weakly excites
- L24:796 weakly excites
- L16:439 weakly excites
- L4:1991 weakly excites
- L5:1452 weakly suppresses "Al-Aqsa" and "Lunar Module" name parts
- L19:1633 weakly excites
- L27:546 weakly suppresses
- L14:1220 weakly suppresses
- L18:1956 weakly excites
- L9:410 weakly suppresses
- L14:330 weakly suppresses
- L5:2405 weakly excites
- L16:1380 weakly excites
- L5:1155 weakly excites
- L5:3060 weakly excites
- L23:1287 weakly excites
- L21:2829 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
- ilha
- AGO
- UNC
- amura
- انية
- гла
- eenth
- Order
- onte
- elsen
Suppresses
- 组织实施
- UIGraphics
- 这套
- 政法
- getDefault
- itional
- '";⏎
- .opens
- couldn
- .createTextNode