timestamps and dates in 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. 19 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 reacts to the spot right after a date or time, such as the gap before the hour in 'October 3rd, 2010, 07:44'. Steering it did not produce a clear theme.
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.
-
Internet (<|endoftext|>このトピックには0件の返信が含まれ、1人の参加者がいます。2020年7月6日 at 9:45 AMに Megan Smith さんが最後の更新を行いました。⏎
-
AdminStaff1 · Views: 1,130⏎Contributed by: AdminStaff1 · April 10, 2008 @ 12
-
.com⏎Fri Sep 10 00:10:22 CEST 2010⏎On 9/9/10 4:39 PM, Baba wrote:⏎> In below code "
-
will print you need to store it in 6 bytes, with the last byte equal to 0.⏎October 3rd, 2010, 07:44 AM⏎We are not going to do you homework.⏎
-
7.png admin2021-10-20 23:34:592021-10-20 23:34:59assignment 2⏎mynursing
-
. Fonts used: school script dashed, Rudiment and Homemade Apple.⏎Posted by Craftyminx on October 12, 2011 at
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 have a new collection of time and other global cultural and national cultural products of my country in my work in my office in some of my local and international. I have some of my own local and international national and regional products. Now,
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
and 48% were influenza A(H3N2).⏎(FluNet data as of 9 August 2011 12:50 UTC)⏎* Some NICs report to FluNet retrospectively leading to updates of
-
much smaller than a human. Essential oils are highly concentrated and should<|endoftext|>Monday, October 5, 1998 Published at 17:47 GMT
-
'Lose my life, my leg or my hand?': Modern-day slavery in India⏎10 July 2014 Last updated at 18:48 BST⏎It is a form of modern day slavery otherwise known as forced
-
3(5):2947-2952.<|endoftext|>- Published on Tuesday, 18 September 2007 20:10⏎- Written
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
- L5:55 strongly suppresses
- L9:383 strongly excites
- L6:605 suppresses
- L17:923 suppresses
- L10:637 suppresses
- L9:1057 excites
- L7:2505 suppresses
- L4:2251 excites
- L8:1257 suppresses
- L7:2318 excites
- L4:1939 suppresses
- L18:1511 suppresses
- L16:583 excites
- L16:1668 suppresses
- L6:2289 suppresses
- L14:1088 excites
- L12:2338 excites
- L10:986 excites
- L3:3062 excites
- L4:2497 suppresses
- L6:2811 suppresses
- L8:2342 suppresses
- L4:2887 excites
- L2:2166 suppresses 'in' after high or low
Feeds later layers
- L20:2665 suppresses
- L22:1074 suppresses
- L20:1335 suppresses
- L20:442 suppresses
- L21:1185 suppresses
- L27:934 suppresses
- L25:565 suppresses
- L24:906 suppresses
- L24:2671 suppresses
- L24:2325 suppresses
- L22:2445 suppresses
- L22:504 excites
- L26:2567 suppresses
- L21:2852 weakly suppresses spot where a number or 'time' comes next
- L21:375 weakly excites
- L20:1288 weakly suppresses
- L22:1113 weakly suppresses
- L23:2882 weakly suppresses
- L21:1209 weakly suppresses
- L23:1205 weakly suppresses
- L20:1199 weakly suppresses
- L20:1680 weakly suppresses
- L22:2729 weakly suppresses
- L20:2347 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
- -sur
- 水量
- aire
- NavItem
- Navigate
- ail
- ียง
- ثار
- filesize
- NAV
Suppresses
- Uhr
- .sleep
- UTC
- clock
- OfDay
- utc
- .Timer
- =time
- 틱
- 时间