Introduction of activation-oracle-Qwen3_6-27B-step-30000
Model Details of activation-oracle-Qwen3_6-27B-step-30000
LoRA Adapter for SAE Introspection
This is a LoRA (Low-Rank Adaptation) adapter trained for SAE (Sparse Autoencoder) introspection tasks.
Base Model
Base Model
:
Qwen/Qwen3.6-27B
Adapter Type
: LoRA
Task
: SAE Feature Introspection
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3.6-27B")
# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "EvilScript/activation-oracle-Qwen3_6-27B-step-30000")
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.
Runs of EvilScript activation-oracle-Qwen3_6-27B-step-30000 on huggingface.co
37
Total runs
36
24-hour runs
37
3-day runs
37
7-day runs
37
30-day runs
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