unclear: 'occasions', 'past', 'course of'
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. 2 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 is hard to pin down. Its strongest negative hits are on nouns like 'occasions' and 'past' inside set phrases, and its weak positive hits are on words like 'of' and 'however'. Turning it up did not produce a clear effect.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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pride of accomplishment; his eyes shown with the radiance of a great vision; for in the opposite corner of the attic another instrument, connected to first by means of two wires, was duplicating, dot for dot and dash for dash, each
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coal, lignite, peat, wood, any type of biomass, industrial waste, municipal waste in various forms, heavy products from crude
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include the Carmel River mouth and Big Sur River mouth.⏎At these spots it is likely that the observer will encounter migrant Warbling⏎Vireos. On occasion, good numbers may be encountered, especially in late⏎August and throughout September.
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Numerous sorts of grain can be utilized, with rye and millet being probably the
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.⏎- Unfold the paper.⏎- Use the same method to make more hearts. Use construction paper, gift wrapping paper, old magazines, wallpaper, or any type of paper you like.<|endoftext|>| The assessment was implemented for
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Large, 80 Stat. 383 stated:⏎"Except as otherwise required by statute, matters of official record shall be made available, in accordance with published rule, to persons properly and directly concerned, except information held confidential for
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 book is a source of material, and the source is a source of material. The source is a source of material. The source is a source of material. The source is a source of material. The source is a source of material
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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means to concurrently search tens of hundreds of stars for planets, the mission is expected to yield over 10,000 new worlds.⏎These are thrilling occasions for astronomers and, particularly, for these of us exploring exoplanets. We
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are precise to the unique paintings.⏎Sextus Empiricus' Outlines of Pyrrhonism is among the most crucial and influential texts within the historical past of Greek philosophy. within the calls for of cause Casey Perin
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a spacewalk, astronauts should test every bit of apparatus and ensure they’ve sufficient vital provides, comparable to oxygen and water.⏎All through the whole spacewalk course of, a floor group again on Earth helps the astronauts. Flight controllers comply with a
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revealed a floor prototype of the brand new exploration extravehicular mobility unit (xEMU) in 2019 at NASA Headquarters in Washington. Credit score: Joel Kowsky/NASA⏎One of many principal elements is the cooling
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
- L1:2749 excites
- L0:3038 suppresses
- L1:1812 excites
- L1:2124 excites
- L1:2683 excites
- L1:1464 excites
- L1:2609 weakly excites
- L0:734 weakly suppresses
- L1:2248 weakly excites
- L1:583 weakly suppresses
- L1:802 weakly suppresses
- L1:280 weakly suppresses
- L0:2754 weakly excites
- L1:531 weakly suppresses
- L0:654 weakly excites
- L0:262 weakly excites
- L1:1857 weakly suppresses
- L1:1396 weakly excites
- L1:2178 weakly excites
- L0:3004 weakly suppresses
- L0:2760 weakly suppresses
- L0:2120 weakly suppresses
- L1:2801 weakly excites
- L1:2107 weakly excites
Feeds later layers
- L5:1142 suppresses
- L7:1333 suppresses
- L9:483 suppresses
- L17:916 suppresses
- L3:2780 suppresses
- L4:32 weakly suppresses
- L3:218 weakly excites
- L16:822 weakly suppresses
- L16:421 weakly excites
- L7:184 weakly suppresses
- L17:26 weakly excites
- L6:481 weakly suppresses
- L5:2305 weakly suppresses
- L8:2205 weakly suppresses
- L7:996 weakly suppresses
- L7:114 weakly suppresses
- L3:356 weakly suppresses
- L20:1777 weakly suppresses
- L16:930 weakly excites
- L3:117 weakly excites
- L3:1152 weakly suppresses
- L5:1677 weakly excites
- L4:82 weakly excites
- L5:3033 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
- ab
- one
- 放
- to
- f
- if
- z
- s
- "
- zu
Suppresses
- igue
- teenth
- slightest
- aisal
- ponential
- -frequency
- amment
- メント
- iciary
- pounded