the colon after Note at the start of a note
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. 6 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 colon in the word Note: when it starts a note or warning on a web page. Turning it up did not bring out any clear theme in the generated text.
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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fr.wikipedia.org⏎Note: you should have a Insecta.pro account to upload new topics and comments.
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ed from MathWords]⏎Note: For a parabolic mirror, all rays of light emitting from the focus reflect off
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your assignment to the M5: Assignment 1 Dropbox.⏎Grading Criteria and Rubric⏎Note: This assignment will be graded using a rubric. Download and read the rubric
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this approach and we thus sought to compile a collection of illustrative case studies covering an array of disease categories, together with patients’ eGFR readings.⏎Note: Only Diamond member can download this ebook. Learn more here!<|endoftext|>March 2
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, and dual diagnosis treatment programs.<|endoftext|>Lesson 5c Loshon horah in front of 3 or more⏎To sponsor a lesson Click⏎Note: We are now beginning our third cycle. The⏎Halacha section will primarily be
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's 'An Economic Interpretation of the Constitution' commemorated⏎- University of Illinois Bigwig to Native American Studies scholar Jean O’Brien: Drop Dead<|endoftext|>Note: Supplemental materials are not guaranteed with Rental or Used book purchases.⏎- ISBN:
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: "The problem" with the problem. The problem is the problem. The problem is the problem. The problem is the problem. The problem is the problem. The problem is the problem. The problem is the problem. The problem is the
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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to 125°C and the IC NE555 is used for where the temperature ranges from 0° to 70°C. [Read more…]⏎Nowadays, attend system in schools and colleges is generally based on paper
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regularly was a pretty safe nutritional bet. Fish was packed with protein, healthy monounsaturated fats, omega-3 fatty acids, all those good things (read more about benefits of fish oil). Unfortunately, due to our continued poisoning of the environment
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B12 deficiency, chronic alcoholism, tumors or infections in the brain, or blood clots in the brain can cause memory loss or possibly dementia (see more on dementia, below). Some thyroid, kidney, or liver disorders also can lead
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if it is less than 2.5 volts, then it will be treated as low. So, we cannot directly measure voltage from microcontrollers. [Read more…]⏎The IC 555 timer was invented by “Signetic Corporation
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
- L4:64 weakly excites
- L3:713 weakly suppresses
- L1:399 weakly suppresses
- L4:1564 weakly suppresses
- L4:1798 weakly excites "past" or "passed" after motion verbs
- L5:669 weakly suppresses
- L2:2876 weakly suppresses
- L3:625 weakly suppresses
- L4:2615 weakly suppresses
- L3:889 weakly suppresses
- L3:30 weakly excites
- L4:2992 weakly excites
- L5:59 weakly suppresses
- L5:1188 weakly excites
- L2:1080 weakly suppresses
- L4:190 weakly excites
- L5:1964 weakly suppresses
- L5:32 weakly suppresses
- L5:1282 weakly excites
- L2:2479 weakly suppresses
- L4:1898 weakly suppresses
- L3:2698 weakly suppresses
- L2:395 weakly suppresses
- L4:1782 weakly suppresses
Feeds later layers
- L14:1727 weakly excites
- L13:2448 weakly excites
- L15:2296 weakly excites
- L9:924 weakly excites
- L25:1460 weakly excites
- L10:919 weakly excites
- L12:434 weakly excites
- L14:1291 weakly excites
- L10:1041 weakly excites opening parenthesis before phone or code
- L19:2481 weakly excites
- L19:2324 weakly excites
- L14:444 weakly excites
- L8:2382 weakly excites wording that leads into 'below' or 'find it'
- L14:1704 weakly excites
- L9:3045 weakly excites
- L14:587 weakly excites
- L15:2747 weakly excites
- L14:1523 weakly excites
- L16:1267 weakly excites
- L11:3070 weakly excites
- L20:780 weakly suppresses 'of' before a measured value
- L20:2531 weakly excites
- L14:2099 weakly excites
- L10:2900 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
- dio
- dio
- ])(
- ))(
- ')(
- '))⏎
- 遗留
- 取
- ')</
- Feel
Suppresses
- kräfte
- 家门口
- .prevent
- Winter
- families
- .parentElement
- 聯合
- cred
- قن
- unched