citation and catalogue metadata text
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. 12 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 on the reference-list and catalogue parts of web pages, such as journal names, page ranges, DOIs, and publication status lines. It is most negative on commas inside numbers and lists. Turning it up made the written text wander into random topics, so the steering results do not show a clear theme.
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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andfonline.com/pricing/journal/VECE20|⏎When requesting a correction, please mention this item's handle: RePEc:taf:jeduce:v:42:y:2011:i:2:p
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lives. If women united internationally and with the wider struggles of working<|endoftext|>|Part of a series on|⏎|Types of creationism|⏎|Other religious views|⏎The Omph
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23(2), 1976 pp. 125–135. doi:10.1112/S002557930000871
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ological event horizon. We anticipate that this apparent violation of the generalized second law will disappear when solutions are available for black holes embedded in arbitrary backgrounds.⏎|Original language||English (US)|⏎|Number of pages||12|⏎|Journal||
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students learning in their mother tongue are some factors for consideration. Copyright © 2014 Society for the Scientific Study of Reading (SSSR).⏎|Publication status||Published - Jul
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1: Download Drupal⏎First download the Drupal using following command:⏎# wget http://ftp.drupal.org/files/projects/drupal-7.33.zip⏎Step 2: Extract
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 am the one who will be the one who will be the one who will be the one who will be the one who will be the one who will be the one who will be the one who will be the one who will be the
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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-oh-sen-TEE-sis) or chorionic (pronounced kawr-ee-ON-ik) villus sampling.1,2,3⏎- Amniocentesis. This involves inserting a needle into the
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ATIC COMPOUNDS ARE THOSE ORGANIC COMPOUNDS WHICH HAVE BENZENE RING (CYCLOHEXA-1,3,5-TRIENE). AROMATIC COMPOUNDS ARE ALWAYS F
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ingredient thallium acetate.(3) Thallium acetate is used to kill rats and was known to cause baldness, pain, and paralysis.(3) A study done at the University of California revealed that people working in the cosmetics
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due to its antibacterial and anti-inflammatory properties. Other medicinal uses include using wild chervil to treat cancer, kidney stones, and cystitis.1,2⏎Cultivation and harvest:⏎Wild chervil has become naturalized across
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
- L7:809 weakly suppresses
- L8:18 weakly suppresses
- L9:2489 weakly suppresses
- L0:2246 weakly excites
- L3:110 weakly suppresses
- L6:1700 weakly excites
- L5:1400 weakly excites
- L4:97 weakly suppresses
- L5:1498 weakly excites
- L10:1241 weakly suppresses
- L4:355 weakly suppresses
- L3:1861 weakly suppresses
- L7:738 weakly excites
- L9:5 weakly excites
- L8:10 weakly excites
- L6:1711 weakly excites
- L1:2212 weakly suppresses
- L0:170 weakly suppresses
- L6:322 weakly excites
- L6:2771 weakly excites
- L7:2702 weakly suppresses
- L7:1913 weakly suppresses
- L1:1551 weakly excites
- L10:247 weakly suppresses
Feeds later layers
- L14:1984 suppresses
- L13:758 suppresses 'and' joining a pair of options
- L15:691 weakly suppresses
- L15:677 weakly suppresses
- L13:2294 weakly excites
- L19:1823 weakly suppresses 'and' inside organisation or paired names
- L17:1669 weakly suppresses
- L15:2722 weakly suppresses "and" or "or" in a pair or list
- L15:2524 weakly excites
- L19:1414 weakly suppresses
- L26:1278 weakly excites
- L26:1853 weakly excites
- L25:1592 weakly excites
- L15:2406 weakly suppresses
- L16:943 weakly excites
- L16:511 weakly suppresses
- L18:1429 weakly excites
- L14:1804 weakly suppresses "and" in subject-area lists
- L13:2330 weakly suppresses
- L23:2978 weakly excites
- L13:462 weakly excites
- L13:826 weakly excites
- L14:2463 weakly suppresses
- L21:622 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
- gar
- enburg
- cala
- 似
- obe
- goals
- 격
- caster
- 冢
- casting
Suppresses
- ijke
- dek
- ,opt
- 高效的
- 펌
- 这两种
- ählt
- ANNOT
- McGregor
- ennis