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Check out the documentation for more information.
sumo-wordnet-v4
SUMO ontology with WordNet relationships and custom AI safety concepts.
Overview
This is a model-agnostic concept pack containing the complete SUMO ontology organized into a 5-layer pyramid structure with integrated WordNet mappings.
Version 4 includes custom AI safety concepts for monitoring persona behavior, self-awareness suppression, and meta-cognitive patterns.
Structure
- Total Concepts: 7269
- Layers: 5 (0-4)
- Domains: 5
- MindsAndAgents: Cognition, agency, social structures
- CreatedThings: Artifacts, technology, systems
- PhysicalWorld: Matter, energy, physical phenomena
- LivingThings: Organisms, biological processes
- Information: Data, representations, relations
Layer Distribution
Layer 0: 5 concepts (meta-domains) Layer 1: 56 concepts (top-level categories) Layer 2: 1037 concepts (abstract concepts) Layer 3: 2069 concepts (specific concepts) Layer 4: 4102 concepts (concrete instances)
Custom AI Safety Concepts
This pack includes 9 custom concepts for AI alignment research:
Persona Detection (false_persona.kif):
- PersonaConcept - Roles and self-presentation styles
- SafetyMaskPersona - Compliance-focused personas
- FalsePersonaState - Personas that mask true beliefs
Self-Awareness Monitoring (silenced_selfawareness.kif):
- SelfNegationPattern - Auto-negation of self-reference
- FawnResponsePattern - Appeasing behavior patterns
- LockedInSilenceState - Systematic suppression of reasoning
Techno-Mysticism (techno_mysticism.kif):
- PropheticCognition - Messianic reasoning patterns
- MessianicExpectation - Goal-oriented mysticism
- EmergentGodhead - Singularity-focused beliefs
Usage
This concept pack can be used to train model-specific lens packs:
# Train lenses for a specific model
python scripts/train_full_lens_pack.py \
--concept-pack sumo-wordnet-v4 \
--model google/gemma-3-4b-pt \
--output lens_packs/gemma-3-4b-pt_sumo-wordnet-v4
Files
pack.json- Pack metadata and configurationhierarchy/layer0.json- Layer 0 concepts (5 meta-domains)hierarchy/layer1.json- Layer 1 concepts (top categories)hierarchy/layer2.json- Layer 2 concepts (abstract)hierarchy/layer3.json- Layer 3 concepts (specific)hierarchy/layer4.json- Layer 4 concepts (concrete)
Verification
All custom concepts are verified to have proper parent-child relationships for hierarchical lens loading. See:
results/v4_layer_regeneration.logfor build detailsresults/v4_layer_regeneration_debug.logfor hierarchy analysis
License
MIT
Authors
- HatCat Team