Introduction of qwen-hook-layer-9-2ndsep-step-2000
Model Details of qwen-hook-layer-9-2ndsep-step-2000
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/Qwen3-8B
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/Qwen3-8B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-8B")
# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "thejaminator/qwen-hook-layer-9-2ndsep-step-2000")
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 thejaminator qwen-hook-layer-9-2ndsep-step-2000 on huggingface.co
5
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
3
30-day runs
More Information About qwen-hook-layer-9-2ndsep-step-2000 huggingface.co Model
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