full stop ending a citation title
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. 11 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
The neuron fires on the period that comes right after the title of a book or article in a reference list, such as 'Philosophy of Physics.' before the publisher. Turning it up gave off-topic, repetitive text, so the steering doesn't reveal much more.
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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, J. H., & Talaga, M. C. (2017). Handbook of clinical psychopharmacology for therapists (8th ed.). Oakland, CA: New Harbinger.⏎Chapter 8, “Bip
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Revising to create “showing” sentences systematically helps improve writing competence.⏎Dyson, A. (2008). Playing with textual toys. In Flood, J., Heath, S.B., & Lapp, D.
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|Through your library||Configure|⏎Similar books and articles⏎Peter Kosso (1998). Appearance and Reality: An Introduction to the Philosophy of Physics. Oxford University Press.⏎Karl Rogers (2005). On the Met
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.⏎Lawrence Sklar (1992). Philosophy of Physics. Westview Press.⏎Edward G. Ruestow (1973).
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fix it)|⏎|Through your library||Configure|⏎Similar books and articles⏎James Behuniak Jr (2011). Naturalizing Mencius. Philosophy East and West 61 (3):492-51
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or not alcohol<|endoftext|>Using groundwater for hydro electric power generation⏎Bardsley, W.E. (1995). Using groundwater for hydro electric power generation. Journal of Hydrology (NZ), 34(1), 1-
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: "A” is the link of the form: https://www.google.com/search?q=exact:msi.dla.arc.arc.arc.arc.arc.arc.au.au.au.au.au.au.au.au.au.au.au.au.au.au.au.au.au.au
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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child’s healthcare provider about glucagon emergency kits for home and school.<|endoftext|>|This article needs additional citations for verification. (July 2012) (Learn how and when to remove this template message)|⏎Sendust is a magnetic
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Pakistan⏎||It has been suggested that this article be merged with Blasphemy law#Pakistan. (Discuss) Proposed since March 2013.|⏎The Pakistan Penal Code
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never came to fruition, the building plots which would be home Carlisle Memorial Church and the Belfast Orange Hall.<|endoftext|>|This article needs additional citations for verification. (March 2010)|⏎|Transformer with two windings and iron
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, giving support for the lateral method of adaptation.<|endoftext|>||This article includes a list of references, but its sources remain unclear because it has insufficient inline citations. (May 2009)|⏎Lexicography is divided into two separate
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
- L2:2791 weakly suppresses
- L9:1050 weakly excites
- L9:1383 weakly suppresses
- L1:2981 weakly suppresses
- L8:172 weakly suppresses
- L1:200 weakly suppresses
- L2:2057 weakly excites
- L5:515 weakly suppresses
- L5:28 weakly excites
- L2:2879 weakly excites
- L10:2636 weakly suppresses
- L7:2509 weakly suppresses
- L7:1782 weakly excites
- L3:488 weakly excites
- L1:897 weakly suppresses
- L6:2859 weakly excites
- L5:1542 weakly suppresses
- L10:2758 weakly excites
- L4:1332 weakly suppresses
- L5:1052 weakly excites
- L8:2168 weakly excites
- L9:479 weakly excites
- L9:2387 weakly suppresses
- L8:1571 weakly excites
Feeds later layers
- L13:899 excites
- L16:808 weakly excites
- L16:2880 weakly excites
- L22:791 weakly excites
- L12:1854 weakly excites
- L15:1955 weakly suppresses
- L16:1364 weakly excites
- L17:905 weakly suppresses
- L25:2068 weakly suppresses
- L20:852 weakly suppresses
- L15:2536 weakly excites
- L22:1655 weakly excites
- L13:1112 weakly excites
- L18:1987 weakly excites
- L26:2230 weakly excites
- L16:2922 weakly suppresses
- L15:1078 weakly suppresses
- L14:1239 weakly excites
- L15:1425 weakly excites
- L21:397 weakly suppresses
- L22:2996 weakly excites
- L23:1003 weakly excites
- L18:2346 weakly excites
- L16:2216 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
- semantics
- dispos
- lek
- нул
- ContextHolder
- &id
- zik
- 东方财富
- &B
- ажд
Suppresses
- 首轮
- SEARCH
- cribed
- quali
- orca
- Pré
- 卵
- وق
- EAR
- HMS