period ending a claim before elaboration
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. 13 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 full stop that closes a sentence which introduces a point, right before the writer explains it, such as the end of a sentence saying there are disadvantages. Turning it up made the text loop on repeated phrases, which is not really about the trigger.
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.
-
hard work can often lead to greater mastery of skills, as repetition and practice can lead to improvement over time.⏎However, there are also several disadvantages to hard work. First, it can be time-consuming, leading to burnout and exhaustion. Second
-
components aids in pinpointing the issue quickly, ensuring timely and accurate repairs or replacements.⏎The Importance of Regular Maintenance⏎Maintenance is vital for the longevity of HVAC systems. This includes routine tasks such as replacing air filters, cleaning coils, inspecting duct
-
coding skills have become invaluable for developers looking to make a mark in the industry.⏎The Challenges of Coding for Apps⏎Coding for apps presents its fair share of challenges. Developers must understand the unique requirements of the
-
, saving energy and reducing utility costs.⏎Choosing the Right Replacement Parts⏎When it comes to repairing or upgrading an HVAC system, choosing the correct replacement parts is critical. Quality parts ensure compatibility with the system and extend its lifespan. For example, using
-
any health risks.⏎Is PET Plastic Safe for the Environment?⏎There have also been concerns about the potential for PET bottles to release harmful chemicals when they are disposed of. Like all plastics, PET bottles are made from non-renewable resources and can
-
benefits of good nutrition are many. Not only will it help you maintain a healthy weight and help you build better immunity but it will do a lot more for you. Let’s understand what is that.⏎Good Nutrition Improves Overall Health⏎Taking a
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: of the the, where the, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
a matrix⏎Find nth maximum⏎Matlab Basics II - Create a vector with a repeated entry⏎Create sequnce 1
-
void draw_model(void *, float, float, float);⏎void deallocate_model(void *);⏎And that is why I am a header Nazi. Here's how I do<|endoftext|>When you work with people, conflict is bound to happen. The dictionary defines conflict
-
damage to the bird, sometimes even leading to death. Here, the bird is carefully manipulating the fish so that it enters its buccal cavity head first.<|endoftext|>In a previous lesson, you used the % (
-
target values⏎removes empty columns⏎imputes missing values with mean values⏎To remove default preprocessing, connect an empty Preprocess widget to the learner.<|endoftext|>Start Date: September 2012⏎Robert Waymouth and Christopher Ch
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
- L11:132 excites period ending an opening topic sentence
- L9:2302 excites
- L9:2447 excites
- L9:16 suppresses unclear: periods inside numbers and names
- L5:155 suppresses
- L3:854 weakly suppresses
- L8:541 weakly excites
- L4:2964 weakly excites
- L8:2520 weakly suppresses
- L6:542 weakly suppresses
- L2:741 weakly excites
- L8:1848 weakly excites
- L12:1950 weakly excites line break after a section heading
- L1:610 weakly suppresses
- L3:816 weakly excites
- L5:665 weakly suppresses
- L3:466 weakly suppresses
- L9:257 weakly suppresses
- L8:361 weakly excites
- L2:1445 weakly excites
- L12:1062 weakly excites
- L4:848 weakly excites
- L6:305 weakly suppresses
- L3:454 weakly suppresses
Feeds later layers
- L16:1545 excites
- L25:198 excites
- L19:384 excites
- L17:200 excites
- L17:347 excites full stops ending informative sentences
- L17:1155 excites opening parenthesis after a sentence
- L20:296 excites
- L27:451 excites
- L20:473 excites
- L19:2697 excites
- L19:2097 excites sentence-end punctuation in speech
- L17:1105 excites
- L19:344 excites periods ending explanations
- L15:1207 excites
- L27:157 excites
- L15:2235 suppresses
- L19:1072 excites
- L27:818 excites inside names of journals and institutions
- L19:527 excites
- L27:133 excites
- L27:406 excites
- L27:293 excites
- L27:371 excites
- L27:640 excites 'of' inside fixed titles and names
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
- preter
- lator
- itud
- weit
- 的情
- erti
- imed
- ’S
- çi
- Knowing
Suppresses
- 收获
- <?,
- {};⏎
- ❯
- ��
- mi
- .#
- 抟
- 灼
- ++;⏎