timestamps after dates
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 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 lights up on the space right after a date, just before a clock time such as '08:57' or '23:34:59'. Turning it up pushed the model toward ordinary prose and question-like text, not toward dates.
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.
-
, osteoporosis, meniscus, ligament injuries, muscle problems.⏎Günceleme: 07/01/2023 14:52<|endoftext|>Sustainability and Renewable Merino⏎Wool runs
-
7.png admin2021-10-20 23:34:592021-10-20 23:34:59assignment 2⏎mynursing
-
Jan 09, 2017 08:57 AM EST⏎MIT Professor Is Building Bio-Inspired
-
would be removed due merely to the<|endoftext|>Editorial: Team effort needed to combat cyberbullying⏎Updated On: Sep 21 2012 11:49:55 AM EDT⏎This is a weekly editorial
-
(nOPC=0 and MAS[1:0]=10).⏎Article last edited on: 2008-09-09 15:47:35⏎Did you find this article helpful?
-
Sep 28, 2009 8:19 PM by Michael Marsh⏎Updated: Sep 28, 2009 8:35 PM⏎Source
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: and of course, this is a really good book to get the best of the month. So I have been thinking about lately and the reason for this is a book that's got a lot of things. So the whole is a book that
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
The industry's own American E-Liquid Manufacturing Standards Association requires that nicotine content be within 10 percent of the labeled content, the health department said.⏎Seventy-three of the 12
-
without the patient actually being cut open!⏎The discovery of x-rays was a happy accident. A physics professor named Wilhelm Roentgen was testing whether cathode rays could pass through glass and observed a mysterious light
-
As of May 2nd, 10 of the 22 were still in hospital and in stable condition.⏎Kalikot District, Nepal⏎Seventeen villages in this western Nepal district have been struggling with an outbreak of diarrhea,
-
69–1870)|⏎|Convoked by||Paul III|⏎about 255 during the final sessions⏎Documents and statements⏎Seventeen dogmatic decrees covering then-disputed aspects of Catholic religion⏎|Chron
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
- L0:1224 suppresses
- L0:178 suppresses
- L0:1301 weakly suppresses
- L2:75 weakly suppresses
- L1:1029 weakly excites
- L0:644 weakly suppresses
- L2:1321 weakly suppresses
- L1:21 weakly excites
- L1:2922 weakly excites
- L1:87 weakly suppresses
- L1:1973 weakly suppresses
- L2:111 weakly suppresses
- L0:1405 weakly excites
- L2:354 weakly excites
- L2:41 weakly suppresses
- L1:1630 weakly excites
- L1:2801 weakly excites
- L1:1593 weakly suppresses
- L1:951 weakly excites
- L1:2905 weakly suppresses
- L2:1496 weakly suppresses
- L1:1857 weakly suppresses
- L0:1472 weakly excites
- L2:757 weakly suppresses
Feeds later layers
- L4:135 excites
- L4:428 suppresses
- L5:983 excites
- L4:285 excites
- L5:1950 excites unclear: 'Lorenz' and name fragments
- L5:20 excites
- L17:2100 weakly excites
- L4:945 weakly excites
- L5:384 weakly suppresses
- L16:543 weakly suppresses
- L6:105 weakly excites
- L18:372 weakly excites
- L16:750 weakly excites
- L4:2488 weakly excites
- L10:2240 weakly excites
- L4:204 weakly suppresses
- L19:792 weakly excites
- L12:2613 weakly suppresses
- L8:460 weakly suppresses
- L4:157 weakly excites
- L27:3039 weakly suppresses
- L7:1220 weakly suppresses
- L21:1286 weakly excites
- L6:530 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
- IVO
- ạy
- lope
- udge
- казать
- ��
- pectral
- porém
- atatype
- actices
Suppresses
- ngũ
- ful
- 抽查
- `\
- 级
- Rebellion
- ,'\
- 帘
- validationResult
- Recognition