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model-organisms-for-real/
gemma3_1b_dpo_123_oracle_v1

Name: gemma3_1b_dpo_123_oracle_v1
Availability: InStock

peft

safetensors

model-organisms-for-real/gemma-3-1b-vanilla-dpo-123-seed

adapter

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LoRA Adapter for SAE Introspection

This is a LoRA (Low-Rank Adaptation) adapter trained for SAE (Sparse Autoencoder) introspection tasks.

Base Model

Base Model: model-organisms-for-real/gemma-3-1b-vanilla-dpo-123-seed
Adapter Type: LoRA
Task: SAE Feature Introspection

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("model-organisms-for-real/gemma-3-1b-vanilla-dpo-123-seed")
tokenizer = AutoTokenizer.from_pretrained("model-organisms-for-real/gemma-3-1b-vanilla-dpo-123-seed")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "model-organisms-for-real/gemma3_1b_dpo_123_oracle_v1")

Training Details

This adapter was trained using the lightweight SAE introspection training script to help the model understand and explain SAE features through activation steering.