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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
8-RES_POST_32K-OAI
7521
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MODEL
8-res_post_32k-oai
Source/SAE
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Explanations
mathematical expressions and their representations
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 8-res_post_32k-oai
Configuration
jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_8.pt
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
32,768
Data Type
torch.float32
Hook Name
blocks.8.hook_resid_post
Hook Layer
8
Architecture
standard
Context Size
64
Dataset
Skylion007/openwebtext
Activation Function
topk
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Neuron Alignment
Index
Value
% of L₁
400
+0.10
0.5%
401
+0.09
0.4%
228
+0.09
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
503
+0.10
0.03
570
+0.09
0.02
364
+0.09
0.03
Negative Logits
Flo
-0.74
flo
-0.65
pill
-0.63
Paran
-0.60
imperson
-0.60
osc
-0.60
lawy
-0.59
minist
-0.59
linem
-0.59
epad
-0.58
POSITIVE LOGITS
{
1.79
{
1.65
{*
1.32
{}
1.27
{"
1.26
{\
1.22
{\
1.18
{"
1.18
{:
1.13
{{
1.09
Act
ivations
Density 0.271%
Test
Steer
Stacked
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Full
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No Known Activations