unclear: period at fragment start
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. 1 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 a full stop, but the examples are all at the very start of a text fragment, so it may be reacting to where the text was cut rather than to any meaning. The pattern is not clear, and the steering outputs do not explain it.
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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. For example, it’s a good idea to place the loading and unloading bay
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. of the Afro-Asiatic language family that includes Hebrew, Arabic, Ar
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. The hotel also had several amenities, including a casino, a golf course, and
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. If there are no local brands to satisfy a need, then consumers will purchase foreign
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. Election day was largely peaceful and approximately 81% of voters cast ballots,
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. The new method, published today in the journal Nature, makes it possible to store
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 been reading about some books, and I have been thinking about my life. I am reading a book called "the journey" and I have been reading about the life and the life. I have been reading about my life. I
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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OBJECT.⏎SUBTRACTIVE SPACES AND THE DEEP WALL.⏎INDEX OF BUILDINGS
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-blown AIDS and death from AIDS (Goedert et<|endoftext|>IJC Releases
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Описание презентации Презентация london-history-12162
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-smallest county in Utah by land area and third-smallest by total area.⏎The
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 suppresses
- L0:2877 suppresses
- L0:552 excites
- L0:1780 weakly suppresses
- L0:2857 weakly suppresses
- L0:2242 weakly excites
- L0:2785 weakly suppresses
- L0:1945 weakly suppresses
- L0:2844 weakly excites
- L0:2733 weakly excites
- L0:2120 weakly suppresses
- L0:1 weakly suppresses
- L0:1118 weakly suppresses
- L0:2440 weakly suppresses
- L0:1793 weakly excites
- L0:2583 weakly suppresses
- L0:40 weakly excites 'of' in 'sort of' hedges
- L0:2589 weakly excites
- L0:2998 weakly suppresses
- L0:2416 weakly excites
- L0:2334 weakly excites
- L0:1378 weakly excites
Feeds later layers
- L20:70 suppresses
- L24:2780 excites
- L2:77 weakly excites
- L21:298 weakly excites
- L22:813 weakly excites
- L15:727 weakly suppresses
- L27:664 weakly excites
- L19:2100 weakly suppresses
- L9:250 weakly excites
- L22:177 weakly suppresses
- L26:2830 weakly excites
- L27:224 weakly excites
- L27:411 weakly excites
- L27:169 weakly excites
- L16:791 weakly suppresses
- L19:224 weakly suppresses
- L12:54 weakly suppresses
- L23:335 weakly excites
- L5:2120 weakly excites
- L16:1114 weakly suppresses
- L27:228 weakly excites
- L27:293 weakly excites
- L26:1098 weakly excites
- L19:1399 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
- owi
- ican
- iances
- icted
- deceased
- sterol
- entlich
- letal
- weed
- iane
Suppresses
- 给孩子
- pliers
- akah
- 本质
- ono
- 放大
- yes
- 金刚
- nhóm
- 只知道