unclear: pronouns in advice and history 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 responds to pronouns and name-like word pieces in mixed text. It is strongest in a few spots and strongly negative in parenting advice, where it reacts to words like 'who', 'you' and 'your' referring to parents and children. Turning it up made the model drift to unrelated topics.
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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Holocaust and of willful radical evil in our time.⏎What the liberators found in these camps astounded them. They came as soldiers, and left as liberators. They
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Defines the area covered by the Treaty as everything south of 60˚S latitude.⏎Article VII: Observers may be designated by Contracting Parties to carry out inspections of stations, equipment, and expeditions, and will
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that activities contrary to the spirit of the Treaty do not occur.⏎Article XI: Disputes between Contracting Parties should be resolved peacefully.<|endoftext|>Read: The Heartbeat of Trees: Em
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highlight the impact of the uneven distribution of responsibilities on the leader and on the group. Ask members about the division of responsibilities in their groups. Ask some leaders how they feel about this.⏎Brief participants to prepare for a role-play, either using some
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southwestern United States. So how can National Geographic say that today’s civilizations are at fault?⏎“The medieval Khmer were confronted with a period of climatic instability that they had no experience of, and which fully changed the rules of the game that they
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<|endoftext|>On a September evening in 1931, John and Jack, two of the caretakers of the Imaginarium Geographica, discover a plea for help on a medieval manuscript - which seems to have been written
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, for example, a person who is, in the beginning of the school, when the school is on the hill, when the school is on the hill, when the school is on the hill, when the school is on
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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anxiety. You want to teach your kids how to cope, not just simply remove them from all stressful situations. It is best to lead by example: a parent who addresses their anxieties and calmly overcomes will teach their children to do the same
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2-year-old how to practice generosity — both within your family and away from home.⏎How to teach your child honesty⏎Start early to show your child that you trust him and that honesty is important to you, and you'll lay the groundwork
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of your child. Be a role model for them. Kids are the best observers, and they tend to imitate there parents.⏎- Show the various options to your child, discuss books with them, and more importantly allow them to choose what they
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, and close with a positive. Maybe the best advice is to comment in the style and mood that you would like to receive.⏎When you comment, show that you are listening. Respond to specific parts of what the author wrote. As
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
- L9:2746 excites
- L8:1868 excites
- L10:2757 excites
- L11:422 suppresses
- L11:2071 suppresses
- L11:1617 excites
- L11:2337 excites
- L11:761 excites
- L10:2620 excites
- L7:505 excites
- L8:872 excites
- L4:1562 excites
- L11:2023 suppresses
- L11:1704 suppresses
- L11:1108 excites
- L11:2754 excites
- L9:652 weakly suppresses
- L6:195 weakly suppresses
- L10:153 weakly suppresses
- L8:246 weakly excites
- L6:2239 weakly suppresses
- L10:2196 weakly suppresses
- L9:2679 weakly suppresses
- L8:2733 weakly suppresses
Feeds later layers
- L18:2131 suppresses
- L14:2012 excites
- L19:2460 excites
- L13:1608 suppresses
- L15:3067 excites
- L13:789 excites
- L18:2606 suppresses
- L15:1815 excites
- L13:1448 excites
- L13:1879 suppresses
- L14:2178 suppresses
- L19:2191 suppresses
- L13:1697 excites
- L17:1893 suppresses
- L14:1845 suppresses
- L13:2151 suppresses
- L21:1473 weakly suppresses
- L13:1639 weakly suppresses
- L13:1514 weakly suppresses
- L14:1529 weakly suppresses
- L25:2480 weakly excites
- L15:1643 weakly suppresses
- L15:1461 weakly suppresses
- L20:1936 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
- automation
- 旅客
- führung
- azar
- cott
- instead
- 鸡汤
- 来宾
- EFI
- USAGE
Suppresses
- Own
- own
- <![
- uisse
- ��
- ythe
- Público
- own
- itations
- ző