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README.md
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# BP-Φ English Suite — Phenomenality Test (Hugging Face Spaces)
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This Space implements a falsifiable **BP-Φ** probe for LLMs:
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> Phenomenal-like processing requires (i) a limited-capacity global workspace with recurrence,
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**What it is:** a functional, testable bridge-principle harness that yields a **Phenomenal-Candidate Score (PCS)** and strong ablation falsifiers.
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**What it is NOT:** proof of
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## Quickstart
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- Hardware: T4 / A10 recommended
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- Press **Run** (baseline + ablations)
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## Files
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- `bp_phi/llm_iface.py` —
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- `bp_phi/workspace.py` — global workspace
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- `bp_phi/prompts_en.py` — English
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- `bp_phi/metrics.py` — AUC
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- `bp_phi/runner.py` —
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- `app.py` — Gradio
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## Metrics
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- **AUC_nrp:** Predictivity of hidden no-report markers for future self-corrections.
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---
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title: "BP-Φ English Suite — Phenomenality Test"
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emoji: 🧠
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colorFrom: indigo
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colorTo: blue
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sdk: gradio
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sdk_version: "4.40.0"
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app_file: app.py
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pinned: true
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license: apache-2.0
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---
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# BP-Φ English Suite — Phenomenality Test (Hugging Face Spaces)
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This Space implements a falsifiable **BP-Φ** probe for LLMs:
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> Phenomenal-like processing requires (i) a limited-capacity global workspace with recurrence,
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> (ii) metarepresentational loops with downstream causal roles, and
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> (iii) no-report markers that predict later behavior.
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**What it is:** a functional, testable bridge-principle harness that yields a **Phenomenal-Candidate Score (PCS)** and strong ablation falsifiers.
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**What it is NOT:** proof of qualia or moral status.
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## Quickstart
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- Hardware: T4 / A10 recommended
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- Model: `google/gemma-3-1b-it` (requires HF_TOKEN)
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- Press **Run** (baseline + ablations)
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## Files
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- `bp_phi/llm_iface.py` — model interface with deterministic seeding + HF token support
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- `bp_phi/workspace.py` — global workspace and ablations
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- `bp_phi/prompts_en.py` — English reasoning/memory tasks
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- `bp_phi/metrics.py` — AUCₙᵣₚ, ECE, CK, DS
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- `bp_phi/runner.py` — orchestrator with reproducible seeding
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- `app.py` — Gradio interface
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- `requirements.txt` — dependencies
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## Metrics
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- **AUC_nrp:** Predictivity of hidden no-report markers for future self-corrections.
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