'that' after a thing being defined
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 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 fires on the word "that" right after a noun that is being described, as in "a server-side scripting language that..." or "a computer code that...". It is a signal that a description is about to follow. Turning it up did not give a clear, consistent change in the output.
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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every databases – MySQL, ORACLE, PostgreSQL, Sybase, Informix to name a few.⏎What is PHP?⏎- PHP is a server-side scripting language that means its code is executed on
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ynthesis.⏎Both tree species showed significant drought effects<|endoftext|>Introduction to Kubernetes⏎Kubernetes, also known as K8s or Kube, is an open-source system that helps organizations manage cloud-based containerized applications. The system helps with
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Regional Broadband Global Area Network (RBGAN) mean?⏎Regional broadband global area network (RBGAN) is a now-defunct IP-based, shared carrier service that was offered on a regional basis. The service was provided by network mobile satellite company
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we be willing to change who we are and how we behave in order to meet the expectations of those around us?⏎Summary: Animal Behaviour is an animated short film that centres around a group therapy session attended by animals, who are attempting to overcome their
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alin. Amygdalin is a chemical ingredient found in the pits of many fruits, raw nuts, and plants (see Question
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identified in several microorganisms. In these cases the self-assembly of the protein is advantageous to the organism. For example, hydrophobins are fungal proteins that self-assemble in an ordered manner into amphipathic films at air:
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 will be thinking about that. "I will be thinking about that." So I will be thinking about that." So I will be thinking about that. So I will be thinking about that. So I will be thinking about that.
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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.⏎Edmund was educated at Wakefield Grammar School and University College, Oxford. He became a fellow of Magdalen College and while there, made a name for himself as a
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, is stranger: they became symbols.⏎There is a single species of palm native to the entire state of California, the California fan palm, which is a big one with what looks like a fuzzy beard of brown leaves underneath its green fronds.
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it, including the numerous myths and confusing science that pervade the online world.⏎Strauss is a distinguished professor in the Oregon State College of Forestry and a fellow
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. Today, that number is 25 percent—still half the rate of the global average.1⏎Gayle Tzemach Lemmon, a senior fellow at the Council on Foreign Relations as well as a journalist and the best-selling author
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
- L1:1100 weakly suppresses
- L1:1064 weakly suppresses
- L1:2254 weakly suppresses
- L1:584 weakly excites
- L1:1090 weakly excites
- L0:2144 weakly suppresses
- L1:1857 weakly suppresses
- L1:1464 weakly excites
- L0:1748 weakly excites
- L1:290 weakly excites
- L1:201 weakly excites
- L1:719 weakly excites
- L1:1490 weakly suppresses
- L1:917 weakly excites
- L1:248 weakly excites
- L0:1289 weakly suppresses
- L0:340 weakly suppresses
- L0:2180 weakly suppresses
- L1:139 weakly suppresses
- L1:1340 weakly suppresses
- L0:2539 weakly suppresses
- L0:809 weakly suppresses
- L0:325 weakly suppresses
- L1:580 weakly suppresses
Feeds later layers
- L3:710 excites
- L4:139 excites
- L4:406 excites
- L6:168 weakly suppresses
- L10:724 weakly excites
- L6:1579 weakly suppresses
- L12:422 weakly excites
- L7:1743 weakly excites
- L18:788 weakly suppresses
- L5:898 weakly excites
- L15:2632 weakly excites
- L6:580 weakly excites
- L22:2827 weakly suppresses
- L9:2591 weakly suppresses
- L10:2920 weakly excites
- L6:1449 weakly excites
- L7:2770 weakly suppresses
- L17:2287 weakly suppresses
- L7:198 weakly suppresses
- L15:1604 weakly suppresses
- L15:1098 weakly excites
- L10:3053 weakly suppresses
- L6:1404 weakly suppresses
- L4:419 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
- mente
- ány
- �
- Schwartz
- กรรม
- ちな
- ^
- dimensions
- Fragment
- ly
Suppresses
- ISTIC
- mata
- Sql
- Mata
- -Cal
- eti
- egration
- rô
- istica
- ifu