the prefix 'non' before a word
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. 22 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 lights up on the word 'non' when it starts a new word, like 'non-smokers' or 'non-human'. When it was turned up, the model's text drifted into odd, unrelated wording, so the push did not reveal a clear effect.
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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thermic effect of activity-this, obviously, represents the caloric burn of activity, both exercise and non-exercise acitivty.⏎- NEAT=non exercise activity thermogenesis=general activity like walking the dog,
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kind, not just dark) were also less likely to report depressive symptoms than those who didn’t eat chocolate at all. However researchers found no significant link between any non‐dark chocolate consumption and clinically relevant depressive symptoms.⏎“This study provides some evidence that
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through interviews and recorded into a dedicated online system. The Pearsonχ2 test, multivariate logistic regression models and discriminant models were fitted into its comparisons with the non-norovirus group and other pathogens.⏎Norovirus was detected in
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involving emotional regulation, and those who had more everyday inattention symptoms had larger problems with the non-emotional cognitive task.⏎"One of the reasons why these results are important is that
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often found mutated in non-smokers (EGFR). Led by HMS graduate student Stephen Curtis, the team
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18-35) read short discourse scenarios for comprehension while monitoring for the presence of semantic anomalies. Using a factor analytic approach, we examined if performance in nonlinguistic conflict monitoring tasks (Stroop, AX-CPT) would
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: items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items items
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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are nearby? What type of boundary are the quakes on?⏎Your paper should meet the following requirements:⏎3-4 pages in length (does not include title and reference page)⏎1-2 outside sources⏎Why Work with CheggAnswers⏎
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form by HashiCorp. But what exactly are Terraform's capabilities, and why should your business consider using it?⏎Put simply, Terraform is powerful infrastructure as code (IaC) tool that allows you to create, update, and
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~10% under the three SGs and decrease 5% under emissions reduction, the latter primarily due to reduced CO2 fertilization, relative to business as usual by the late twenty-first century. Relative humidity dominates the hydrological effect on
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techniques. During the "break-bulk" era, high-value cargo was packaged in cases or pallets for shipment and loaded and unloaded on a piece-by-piece or pallet-by-pallet basis. Easy access encouraged the theft of electronics, appliances,
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
- L19:2198 excites
- L21:831 excites
- L20:2269 suppresses
- L20:2979 excites
- L20:1651 excites
- L21:966 suppresses
- L20:1344 excites
- L20:983 excites
- L20:1197 excites 'this' pointing at the current document
- L20:1533 excites
- L21:68 suppresses
- L19:1371 excites
- L18:1691 suppresses
- L21:2105 weakly suppresses
- L15:817 weakly suppresses
- L18:1596 weakly suppresses
- L19:2490 weakly suppresses
- L20:495 weakly excites
- L20:2352 weakly suppresses
- L18:1928 weakly suppresses
- L19:705 weakly excites
- L17:1002 weakly suppresses
- L20:864 weakly suppresses
- L20:2201 weakly excites 'the' in location phrases like 'at the end'
Feeds later layers
- L23:465 suppresses
- L25:525 suppresses
- L23:355 suppresses
- L24:163 suppresses
- L26:359 weakly suppresses
- L27:735 weakly suppresses
- L26:2076 weakly suppresses
- L27:227 weakly suppresses
- L23:2775 weakly suppresses
- L25:390 weakly suppresses
- L25:1220 weakly suppresses
- L26:490 weakly suppresses the digit 1 starting a number
- L24:419 weakly suppresses
- L23:1300 weakly suppresses
- L25:1588 weakly suppresses
- L24:268 weakly suppresses
- L26:1764 weakly suppresses
- L25:2026 weakly excites
- L27:1402 weakly suppresses
- L23:232 weakly excites
- L26:568 weakly suppresses
- L25:886 weakly suppresses
- L23:2415 weakly excites
- L24:2310 weakly suppresses
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
- resse
- arily
- ophobia
- ไหน
- rys
- атор
- ricerca
- trưởng
- verständ
- under
Suppresses
- items
- 项目
- 元素
- pieces
- 元件
- 項目
- 板块
- piece
- 物品
- 部门