'the' after 'of' and similar words
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. 17 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 word 'the' when it follows words like 'of', 'combination of' or 'without', which often start a noun phrase. The pattern is loose, and turning it up gave repetitive, unfocused text.
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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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: and of the or of of of of of of of of of of of of of of of of of of of of of (2,4,6, of or of of of of of of of of of of of of
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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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
- L16:2248 suppresses
- L10:1377 suppresses
- L16:792 excites "the" inside a prepositional phrase
- L9:24 excites "the" before a named organisation or title
- L4:52 excites
- L11:331 excites
- L11:875 suppresses
- L4:73 suppresses
- L10:120 suppresses
- L9:662 suppresses
- L16:2062 excites "other" and contrast words
- L11:1168 excites
- L16:419 excites
- L13:1234 suppresses
- L12:435 suppresses
- L8:636 suppresses
- L6:61 suppresses
- L5:225 excites
- L2:205 excites
- L16:1851 suppresses
- L15:1848 suppresses
- L16:1309 excites
- L10:1162 excites
- L16:1212 suppresses
Feeds later layers
- L20:457 excites
- L19:1550 suppresses
- L18:314 excites
- L21:592 suppresses
- L18:884 weakly suppresses
- L18:1477 weakly suppresses
- L20:932 weakly excites 'of' after a count or quantity
- L18:3050 weakly suppresses
- L19:684 weakly suppresses
- L22:260 weakly suppresses
- L20:901 weakly suppresses
- L18:2513 weakly excites
- L22:360 weakly excites
- L20:2025 weakly suppresses
- L18:217 weakly excites
- L20:880 weakly suppresses
- L19:769 weakly suppresses
- L27:1992 weakly suppresses
- L19:1475 weakly suppresses
- L18:2842 weakly excites
- L18:2523 weakly excites 'the' after 'is' or 'was' before a role
- L20:64 weakly suppresses
- L21:1579 weakly excites
- L18:1076 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
- positor
- izons
- icias
- s
- earn
- pires
- #__
- íc
- 变现
- ibir
Suppresses
- competent
- PTS
- inality
- heuristic
- weg
- 없이
- 醒
- seule
- قة
- فة