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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
13140
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MODEL
11-res-jb
Source/SAE
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proper nouns
oai_token-act-pair · gpt-3.5-turbo
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references to specific numerical codes or identifiers
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Comparing With
GPT2-SMALL @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
torch.float32
Hook Point
blocks.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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Negative Logits
zone
-0.72
iky
-0.68
tle
-0.66
haw
-0.65
nces
-0.64
iphate
-0.63
ht
-0.62
hran
-0.62
arty
-0.61
rh
-0.60
POSITIVE LOGITS
B
2.41
B
1.84
b
1.52
b
1.30
Bs
1.28
BA
1.17
Bib
1.14
Boll
1.12
BS
1.10
BI
1.09
Act
ivations
Density 0.448%
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