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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
3620
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MODEL
0-res-jb
Source/SAE
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Explanations
words related to the German word "Flüchtlinge", which translates to "refugees" in English
oai_token-act-pair · gpt-3.5-turbo
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the term "Fl" and variations related to a specific topic or item, likely pertaining to a category or classification
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/3620?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ay
-0.80
recess
-0.70
nep
-0.69
amera
-0.68
ATIVE
-0.67
ername
-0.66
enge
-0.65
Ay
-0.64
Ay
-0.63
minded
-0.62
POSITIVE LOGITS
Fl
3.50
Fl
2.13
fl
1.80
fl
1.78
FL
1.72
Flo
1.45
Fle
1.42
FL
1.39
Flare
1.32
Flame
1.30
Act
ivations
Density 0.011%
Test
Steer
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