'result' and 'results from' in science prose
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 fires weakly on phrases like 'a famous result of Gauss' and 'the results from'. It also dips on the endings of some Russian surnames. Turning it up or down did not give a clear change.
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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0, 1, depending on the quadratic residue properties of modulo .⏎A famous result of Gauss states that when the modulus is a prime , the two sums and have
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erosion intensities. A practical application of this measurement technique was demonstrated in testing the viability of air injection as a means of mitigating cavitation erosion. The results from the impulse pressure measurements were compared with those obtained from hydrophone and accelerometer measurements.
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the origin, takes steps given by the terms of the exponential or quadratic residue Gauss sum modulo , and ends at the value of the Gauss sum. By a famous result of Gauss, if the modulus is a prime number, the two walks always end
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active. In principle, a passive tracer blindly follows the fluid phase in which it is injected. Interpretation of tracer-production curves must account for this. The results from the application of active tracers may give information about fluid saturation and rock surface
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: conductive electrodes coated with a compound called polyanthraquinone, which has a natural chemical attraction<|endoftext|>From: Michael Barrie <mibarrieinterchange.ubc.ca>⏎Subject: Overt Markers on Mass N
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90 days following lively shooter drills, in contrast with the 90 days earlier than the drills.⏎The authors of this research, together with Mai ElSherief, PhD, drew these conclusions after analyzing 54 million social media posts earlier
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: In the, you are, the first, you are: The world is full of the, you have is: A long. The. This. In mathematics, You is Contemporary and 10000.
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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, Salyut 6 EO-1, Salyut 7 EP-5. More...⏎Makarov Makarov, Oleg Grigoryevich (1933-20
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eneration of multi-excitons via virtual single-exciton states; Richard D. Schaller, Vladimir M. Agranovich and Victor I. Klimov; Nature Physics 1, 189<|endoftext|>d.175
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It would have taken the pen of a Kafka . . . to depict the world of visas in all its surrealistic absurdity; that of a Dostoyevsky to render the nightmare of the petitioners’ struggle for survival.” Kaplan is
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18.⏎More... - Chronology...⏎First Launch: 1972 Early.⏎Lazarev Lazarev, Vasili Grigoryevich (1928-1990) Russian physician cosmon
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
- L1:1779 weakly suppresses
- L1:3038 weakly excites
- L0:292 weakly suppresses
- L1:2683 weakly excites
- L1:865 weakly suppresses
- L1:455 weakly excites start-of-document end token
- L1:491 weakly excites
- L1:171 weakly excites "but" after a negated clause
- L1:1099 weakly excites
- L1:348 weakly excites
- L0:1655 weakly suppresses
- L0:1224 weakly suppresses
- L1:934 weakly suppresses
- L0:1513 weakly excites
- L0:823 weakly suppresses
- L0:1984 weakly excites
- L1:2608 weakly suppresses
- L0:1317 weakly excites
- L1:1464 weakly excites
- L0:2755 weakly suppresses
- L0:178 weakly suppresses
- L0:453 weakly suppresses
- L0:1876 weakly excites
- L0:2947 weakly excites
Feeds later layers
- L17:947 suppresses
- L6:2649 suppresses
- L7:1290 suppresses
- L9:436 suppresses
- L10:112 suppresses
- L23:2890 suppresses
- L9:453 excites
- L22:2550 weakly suppresses
- L7:295 weakly suppresses
- L16:2420 weakly suppresses
- L16:2354 weakly suppresses
- L17:2381 weakly excites
- L23:276 weakly suppresses
- L17:714 weakly suppresses
- L15:2050 weakly excites
- L14:2955 weakly excites
- L19:891 weakly suppresses
- L14:1199 weakly suppresses
- L22:2247 weakly excites
- L14:2324 weakly suppresses
- L20:2663 weakly excites
- L5:2841 weakly suppresses
- L19:2956 weakly excites
- L14:2851 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
- ece
- è
- �
- emp
- awei
- horse
- riage
- owered
- horse
- ò
Suppresses
- 镒
- onas
- hausen
- 社会资本
- 莫斯科
- loh
- RYPT
- Siber
- ROM
- pered