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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
10-RES_POST_32K-OAI
29745
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MODEL
10-res_post_32k-oai
Source/SAE
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Explanations
indicators of psychological assessments and scores related to mental health
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 10-res_post_32k-oai
Configuration
jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_10.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.10.hook_resid_post
Hook Layer
10
Architecture
standard
Context Size
64
Dataset
Skylion007/openwebtext
Activation Function
topk
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Neuron Alignment
Index
Value
% of L₁
495
+0.10
0.5%
307
+0.10
0.4%
378
+0.09
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
194
+0.10
0.05
6
+0.10
0.09
369
+0.09
0.05
Negative Logits
--
-1.17
..."
-0.99
...?
-0.96
"...
-0.93
...)
-0.92
...
-0.91
...
-0.88
"...
-0.86
..."
-0.83
``
-0.82
POSITIVE LOGITS
âĪĴ
2.39
âĪĴ
1.80
âĢIJ
1.79
ÂŃ
1.76
(âĪĴ
1.66
âĢij
1.42
·
1.36
âμ
1.15
β
1.10
³³³³³³³³
1.08
Act
ivations
Density 2.312%
Test
Steer
Stacked
Snippet
Full
Show Breaks
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No Known Activations