unclear: first and boundary tokens
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. 27 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's strongest values fall on the very first word of a text chunk or on the special end-of-text marker, which suggests it reacts to position rather than to meaning. The extreme values are unusual and the steering output is mostly repetition, so the purpose is unclear.
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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The quest to achieve the impossible fuels creativity, spawns new fields of inquiry, illuminates
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The studio probably had little choice but to create a form letter.⏎I don’t think
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The recipient previously opened the message⏎Still, also the recall won’t work If a
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The Negro Speaks of Rivers,” written the summer after he graduated from high school in
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The unused funds — called Universal Service and Access Funds (USAFs) — are
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The review of 20 previous studies found that people who were given dark chocolate or
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: If, to, or to, to, to, to, to, to, to, to, to, to, to, to, to, to, to, to, to, to, to, to, to, to
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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Norman cathedral. It is the seat of the Bishop of Coutances and Avranches,
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)<|endoftext|>Trophic state and seasonal dynamics of phytoplankton communities in two sand-p
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<|endoftext|>What is Cancer? What Causes Cancer?⏎Cancer is a class of diseases characterized by
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brain<|endoftext|>Harm Is in the Eye of the Beholder⏎Mark Davis is the De
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
- L26:1564 strongly suppresses
- L25:11 strongly excites
- L26:2 strongly suppresses
- L11:49 suppresses
- L6:499 excites
- L8:16 excites
- L19:393 excites
- L20:12 excites
- L8:14 suppresses
- L11:969 excites
- L2:2328 excites
- L8:4 suppresses
- L10:119 suppresses
- L8:7 suppresses
- L18:388 excites
- L2:666 suppresses
- L0:1224 excites
- L0:178 excites
- L10:106 suppresses
- L0:1301 excites
- L19:926 excites
- L6:8 excites
- L17:139 weakly excites
- L7:31 weakly excites
Feeds later layers
None: this is the last layer.
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
- ucid
- �
- following
- vergence
- �
- erialization
- �
- relación
- �
- diá
Suppresses
- .every
- ]*
- ergarten
- %"
- upyter
- ].
- 0
- ])
- %⏎⏎
- ],[