IntelLabs/BlueLens
Dataset Card for BlueLense Dataset Summary Dataset Details Model Description Checkpoint Used Dataset Split GDINO Features from COCO 2017 training set groundingdino-swint-ogc COCO COCO_TRAIN GDINO Features from COCO 2017 validation set groundingdino-swint-ogc COCO COCO_VAL GDINO ~100 random samples from COCO 2017 groundingdino-swint-ogc COCO COCO_MINI DETR ~100 random samples from COCO 2017… See the full description on the dataset page: https://huggingface.co/datasets/IntelLabs/BlueLens.
Dataset Card for BlueLense
<div align="center"> <img src="docs/images/bluelens.png" alt="BlueLens Logo" width="300"/> </div>
Dataset Summary
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Dataset Details
- Creators: Intel Labs
- Version: 1.0 (Updated: 2025-05-02)
- License: Intel Research and Development License
- Number of Training Samples: >100M
- Number of Test Samples: >500K
- Format: pyarrow format
Intended Use
- Primary Uses:
- These intermediate features or tokens are primarily intended for insights and exploratory analysis in explainable AI, as well as for training ad-hoc models such as linear probes, Sparse AutoEncoders (SAEs), or transcoders.
- This is also an example of a dataset that can be extracted using the feature recorder (intercept_manager) from the BlueGlass repository, providing a guiding dataset for further analysis.
- Out-of-Scope Uses: This dataset is not intended for commercial use or for training models that will be deployed in real-world scenarios without further verification and validation.
Data Collection Process
This dataset contains intermediate features extracted from various layers of transformer models using the intercept_manager module from BlueGlass. The features are recorded from different probe positions within the model, as illustrated in the image below, enabling fine-grained analysis and interoperability.
<div align="center"> <img src="docs/images/feature_pattern.png" alt="Feature Pattern used to extract the BlueLens dataset" width="300"/> </div>
Ethical Considerations
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Contact Information
- Issues: For any issues or questions regarding the dataset, please contact the maintainers or open an issue in the dataset repository.