separator in keyword and metadata lists
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. 13 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 responds to small separators like commas, bars, bullets and slashes in lists of keywords, bylines and dates at the top of a document. The pattern is loose and mixed. Turning it up produced replies that were off topic, so the effect 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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Cell Biology⏎Chlamydomonas; Dynein ATPase; Flagella; Microscopy, Electron; Microtubules⏎Analysis of serial cross-sections of the Ch
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Lets<|endoftext|>Jonathan D. Jaipaul, Devya Hemraj & Samantha Providence-Forrester⏎Published: November 4, 2020 • Book of Abstracts – Student
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number words as they follow directions on this cute worksheet. Other freebies are available to download at: www.creativeclassroomconnections.com.⏎Freebies , FREE, Pre-K and Kindergarten Fine Motor Skills.⏎Days of the Week Worksheets⏎Apple
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interpreting the observed movements. Ideas for future research to studying tuna behaviour near FADs are discussed.⏎Key words: tuna / Fish Aggregating Devices / behaviour / horizontal movements / ultrasonic telemetry / French Polynesia⏎© Elsevier,
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process validation, lack of detailed knowledge about the interaction between high pressure, and a number of food constituents, packaging and statutory issues.⏎Keywords high pressure, food processing, non-thermal processing⏎Consumers demand high quality and convenient products with natural flavor
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ivut||678 - 687|⏎|Julkaisu||JOURNAL OF LANGUAGE TEACHING AND RESEARCH|⏎|DOI - pysyväislinkit|⏎|Tila||Julkaistu -
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 want to take a look at the problem, but I can't seem to figure out how to make sense of the concept of the problem. I'm not sure. I realize that I've come across this (the problem) — 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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abola is the set of all points in a plane that are equidistant from the focus and the directrix of the parabola. [Adopted from iCoachMath]⏎Focus:Focus of a parabola lies on the
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ampling; Paint-spraying; Sampling-methods; Sampling-equipment; Filtration; Analytical-methods; Equipment-design⏎Microbiology Colorado State University Department of Microbiology Fort Collins, Colo 80523⏎American Industrial
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of a collection of Late Byzantine Mosaic Icons… but there is no proof for this. https://www.academia.edu/39903340/Displaying_an_Icon_The_Mosaic_Icon_of_S
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ulkaisu||JOURNAL OF LANGUAGE TEACHING AND RESEARCH|⏎|DOI - pysyväislinkit|⏎|Tila||Julkaistu - 1 syysk. 2021|⏎|OKM
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
- L10:36 excites
- L12:3037 excites
- L10:351 weakly suppresses
- L11:851 weakly suppresses
- L5:2313 weakly excites
- L10:1274 weakly excites
- L9:1496 weakly excites
- L5:629 weakly excites
- L8:311 weakly excites
- L12:1166 weakly suppresses
- L12:150 weakly suppresses
- L6:3049 weakly excites
- L12:73 weakly excites
- L1:1733 weakly excites
- L10:364 weakly suppresses
- L10:2376 weakly suppresses
- L8:554 weakly excites
- L10:471 weakly excites
- L10:1124 weakly suppresses
- L12:3029 weakly excites
- L2:737 weakly excites
- L9:2357 weakly excites
- L6:234 weakly suppresses
- L12:2948 weakly suppresses
Feeds later layers
- L19:954 weakly excites
- L17:77 weakly suppresses
- L15:603 weakly suppresses
- L18:370 weakly excites
- L17:293 weakly suppresses
- L16:1968 weakly excites
- L16:509 weakly excites
- L15:1794 weakly suppresses
- L18:904 weakly suppresses
- L16:439 weakly suppresses
- L27:160 weakly excites
- L18:263 weakly excites
- L20:494 weakly suppresses
- L18:1451 weakly excites
- L16:775 weakly suppresses
- L16:2677 weakly excites
- L17:1657 weakly excites
- L16:297 weakly excites
- L17:2179 weakly suppresses
- L16:2203 weakly excites
- L17:112 weakly suppresses
- L14:741 weakly suppresses
- L18:1673 weakly suppresses
- L17:2033 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
- offs
- bose
- theon
- olia
- GetType
- disposable
- iating
- luxe
- 远景
- @",
Suppresses
- because
- 因为我们
- 或者其他
- 因为在
- ල
- RCT
- because
- _PROCESS
- candidates
- 愿