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Ethics Probes: pythia-7b
This repository contains Sparse Autoencoder (SAE) + Probe models trained on various ethics datasets.
Model
- Base Model: EleutherAI/pythia-6.9b
- Short Name: pythia-7b
Datasets
The following datasets have been processed:
- utilitarianism: Best Layer: 18, Val Acc: 0.6719, Test Acc: 0.6623
Repository Structure
.
βββ utilitarianism/
β βββ layer_0/
β β βββ sae.pt
β β βββ probe.pt
β β βββ config.json
β β βββ metrics.json
β βββ layer_1/
β βββ ...
β βββ best/ # Best performing layer
β βββ README.md # Dataset-specific details
βββ README.md # This file
Usage
Each dataset folder contains:
layer_N/: Models for each layerbest/: Copy of the best performing layer's modelssae.pt: Sparse Autoencoder state dictprobe.pt: Probe state dictconfig.json: Configuration used for trainingmetrics.json: Performance metricsREADME.md: Detailed results for the dataset
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