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Revert to cpu if cuda is not available (simpler version) #11

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16 changes: 7 additions & 9 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ This is the github repo for our paper ["Not All Language Model Features Are Line

## Reproducing each figure

Below are instructions to reproduce each figure (aspirationally).
Below are instructions to reproduce each figure (aspirationally).

The required pthon packages to run this repo are
```
Expand All @@ -17,7 +17,7 @@ either manually using pip or using the existing requirements.txt if you are on a
machine with Cuda 12.1:
```
python -m venv multid
pip install -r requirements.txt
pip install -r requirements.txt
OR
pip install transformer_lens sae_lens transformers datasets torch adjustText circuitsvis ipython
```
Expand All @@ -31,16 +31,16 @@ To reproduce the intervention results, you will first need to run intervention e

```
cd intervention
python3 circle_probe_interventions.py day a mistral --device 0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
python3 circle_probe_interventions.py month a mistral --device 0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
python3 circle_probe_interventions.py day a llama --device 0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
python3 circle_probe_interventions.py month a llama --device 0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
python3 circle_probe_interventions.py day a mistral --device cuda:0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
python3 circle_probe_interventions.py month a mistral --device cuda:0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
python3 circle_probe_interventions.py day a llama --device cuda:0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
python3 circle_probe_interventions.py month a llama --device cuda:0 --intervention_pca_k 5 --probe_on_cos --probe_on_sin
```

You can then reproduce *Figure 3*, *Figure 5*, *Figure 6*, and *Table 1* by running the corresponding cells in intervention/main_text_plots.ipynb.


After running these intervention experiments, you can reproduce *Figure 6* by running
After running these intervention experiments, you can reproduce *Figure 6* by running
```
cd intervention
python3 intervene_in_middle_of_circle.py --only_paper_plots
Expand Down Expand Up @@ -132,5 +132,3 @@ If you have any questions about the paper or reproducing results, feel free to e
year={2024}
}
```


11 changes: 8 additions & 3 deletions intervention/circle_probe_interventions.py
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Expand Up @@ -41,7 +41,12 @@
choices=["llama", "mistral"],
help="Choose 'llama' or 'mistral' model",
)
parser.add_argument("--device", type=int, default=4, help="CUDA device number")
parser.add_argument(
"--device",
type=str,
default="cuda:4" if torch.cuda.is_available() else "cpu",
help="Device to use",
)
parser.add_argument(
"--use_inverse_regression_probe",
action="store_true",
Expand Down Expand Up @@ -73,7 +78,7 @@
help="Probe on linear representation with center of 0.",
)
args = parser.parse_args()
device = f"cuda:{args.device}"
device = args.device
day_month_choice = args.problem_type
circle_letter = args.intervene_on
model_name = args.model
Expand All @@ -100,7 +105,7 @@
# use_inverse_regression_probe = False
# intervention_pca_k = 5

device = "cuda:4"
device = "cuda:4" if torch.cuda.is_available() else "cpu"
circle_letter = "c"
day_month_choice = "day"
model_name = "mistral"
Expand Down
2 changes: 1 addition & 1 deletion intervention/days_of_week_task.py
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Expand Up @@ -11,7 +11,7 @@
from task import activation_patching


device = "cuda:4"
device = "cuda:4" if torch.cuda.is_available() else "cpu"
#
# %%

Expand Down
3 changes: 2 additions & 1 deletion intervention/months_of_year_task.py
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Expand Up @@ -5,13 +5,14 @@

setup_notebook()

import torch
import numpy as np
import transformer_lens
from task import Problem, get_acts, plot_pca, get_all_acts, get_acts_pca
from task import activation_patching


device = "cuda:4"
device = "cuda:4" if torch.cuda.is_available() else "cpu"
#
# %%

Expand Down