healthcare and service phrases
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. 9 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 word in a phrase where the next word is likely to be 'services', 'care', 'access' or 'quality', especially in health and cloud computing text. Its strongest examples are all about health care, service or access. Turning it up did not make the model talk about health, so the link is only seen in the text it reads.
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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Cloud Computing?⏎In simple terms, cloud computing is a technology used for storing and accessing data, application and programs over the Internet. Cloud computing refers to the delivery of hosted and computing services including servers, storage, databases, networking, analytics, and
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edition of Health at a Glance: Europe presents a set of key indicators of health status, determinants of health, health care resources and activities, quality of care, health expenditure and financing in 35 European countries, including the 2
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were run out of the area. While growing up there it never occurred to me<|endoftext|>In the United States, medical insurance plays a crucial role in ensuring access to quality healthcare. With a complex healthcare system, navigating the intricacies of medical insurance can
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aspect of reducing health disparities is moving health care providers, staff, administrators, and practices toward increased cultural competence and proficiency. Effective delivery of culturally and linguistically appropriate service in cross-cultural settings is identified as cultural competence
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intervention for cervical cancer screening for African American and Native American women.⏎A Roadmap and Best Practices for Organizations to Reduce Racial and Ethnic Disparities in Health Care⏎- 1. Interventions to Improve Decision Making and Reduce Racial
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00,000 of whom were living in sub-Saharan Africa. Though life-saving antiretroviral treatment is available, millions of people still cannot access it: just 32% of children who are HIV-positive are currently on
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: The 1960s, 1970s, and 2000s. Please explain what the key points are for the 1960s, 1970s, and
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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ly described by the Monty Python comedy troupe as “taxing foreigners living abroad.” But the fact that
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12 HealthDay. All rights reserved. URL:http://www.healthscout.com/template.asp?id=6695
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productivity of teams, but it can also potentially hurt relationships with customers or damage the reputation of the business.⏎How dirty data happens⏎In Salesforce and most other CRMs, the origin of dirty data can usually be pinpointed by one or more of
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oil analysis—also can tell the condition of equipment, which allows us to respond to potential failures at an early stage.⏎In short, the proper use of oil analysis can help:⏎- Improve
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
- L6:2977 suppresses
- L5:2579 excites
- L6:2955 suppresses
- L6:1384 weakly suppresses
- L3:2739 weakly suppresses
- L8:2498 weakly excites
- L3:1136 weakly excites
- L4:1397 weakly suppresses
- L6:2029 weakly suppresses row and column words in grids and tables
- L7:3016 weakly excites
- L1:2551 weakly excites
- L5:2268 weakly suppresses
- L1:2683 weakly excites
- L6:2130 weakly excites
- L7:2100 weakly excites
- L7:1553 weakly excites
- L6:2005 weakly suppresses
- L8:1421 weakly excites
- L6:1091 weakly suppresses
- L2:2510 weakly suppresses
- L4:2797 weakly suppresses
- L1:1942 weakly excites
- L6:825 weakly suppresses
- L8:2577 weakly suppresses
Feeds later layers
- L22:2087 excites
- L12:1476 excites
- L20:1654 excites
- L24:1177 weakly suppresses
- L20:1063 weakly excites
- L11:1113 weakly excites
- L10:847 weakly suppresses
- L19:2203 weakly excites
- L20:2649 weakly suppresses
- L24:1980 weakly excites
- L17:3062 weakly excites
- L11:727 weakly excites
- L10:2147 weakly excites
- L22:2340 weakly excites
- L19:2154 weakly suppresses
- L11:1628 weakly suppresses
- L20:801 weakly suppresses
- L17:1162 weakly excites
- L17:2615 weakly suppresses
- L13:3048 weakly excites
- L11:1000 weakly excites
- L23:1101 weakly excites
- L22:2860 weakly excites
- L12:420 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
- services
- 服务
- service
- -service
- .services
- services
- 服务能力
- 医疗服务
- _services
- сервис
Suppresses
- 这首歌
- 独角
- Pose
- 唧
- storybook
- estone
- 赛车
- 蛴
- 包袱
- 方向盘