| # 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: |
| |
| ```bash |
| # 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 configuration |
| - `hierarchy/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.log` for build details |
| - `results/v4_layer_regeneration_debug.log` for hierarchy analysis |
|
|
| ## License |
|
|
| MIT |
|
|
| ## Authors |
|
|
| - HatCat Team |
|
|