SkillAI Tools & APIsv1.0

Attention Visualization

by AaaS · open-source · Last verified 2026-03-17

Enables practitioners to visualize and interpret attention patterns within transformer models to understand how the model allocates focus across input tokens. Covers BertViz, attention rollout, head importance pruning, and mechanistic interpretability probes for debugging hallucination and bias.

https://aaas.blog/skill/attention-visualization ↗

D—Poor

Adoption: C+Quality: AFreshness: B+Citations: FEngagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: attention-map-extraction, head-importance-analysis, attention-rollout, token-attribution, mechanistic-probing
Integrations: bertviz, captum, huggingface, pytorch
Use Cases: model-debugging, hallucination-analysis, bias-detection, prompt-optimization
API Available: No
Difficulty: advanced
Prerequisites: feature-attribution
Supported Agents: compliance-agent
Tags: xai, attention, transformer, bertviz, mechanistic-interp
Added: 2026-03-17
Completeness: 87%

Index Score

Adoption

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Freshness

Citations

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