config.json

{
    "model_class_name": "HookedViT",
    "model_name": "open-clip:laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K",
    "model_path": null,
    "hook_point_layer": 11,
    "layer_subtype": "hook_resid_post",
    "hook_point_head_index": null,
    "context_size": 50,
    "use_cached_activations": false,
    "use_patches_only": false,
    "cached_activations_path": "activations/_home_mila_p_praneet.suresh_prisma-v2_waterbird/openai_clip-vit-large-patch14/blocks.11.hook_resid_post",
    "d_in": 768,
    "activation_fn_str": "relu",
    "activation_fn_kwargs": {},
    "cls_token_only": false,
    "max_grad_norm": 1.0,
    "initialization_method": "encoder_transpose_decoder",
    "normalize_activations": "layer_norm",
    "n_batches_in_buffer": 20,
    "store_batch_size": 32,
    "num_workers": 4,
    "num_epochs": 15,
    "total_training_images": 143880,
    "total_training_tokens": 7194000,
    "image_size": 224,
    "device": {
        "__type__": "torch.device",
        "value": "cuda"
    },
    "seed": 42,
    "dtype": {
        "__type__": "torch.dtype",
        "value": "torch.float32"
    },
    "architecture": "standard",
    "verbose": false,
    "b_dec_init_method": "geometric_median",
    "expansion_factor": 64,
    "from_pretrained_path": null,
    "d_sae": 49152,
    "l1_coefficient": 0.1413670469265696,
    "lp_norm": 1,
    "lr": 0.011813686729329077,
    "lr_scheduler_name": "cosineannealingwarmup",
    "lr_warm_up_steps": 500,
    "train_batch_size": 8192,
    "dataset_name": "waterbirds",
    "dataset_path": "/home/mila/p/praneet.suresh/prisma-v2/waterbird",
    "dataset_train_path": null,
    "dataset_val_path": null,
    "use_ghost_grads": true,
    "feature_sampling_window": 1000,
    "dead_feature_window": 5000,
    "dead_feature_threshold": 1e-08,
    "log_to_wandb": true,
    "wandb_project": "waterbirds_finetuning_sweep",
    "wandb_entity": null,
    "wandb_log_frequency": 1,
    "n_validation_runs": 100,
    "n_checkpoints": 10,
    "checkpoint_path": "/network/scratch/p/praneet.suresh/open_clip_waterbirds_checkpoints/a82fc967-waterbirds_finetuning_sweep"
}