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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Spiegel
    -0.75
     Weasley
    -0.71
     escal
    -0.70
     ages
    -0.67
     Bild
    -0.65
     disinfect
    -0.64
     indirect
    -0.63
     Horus
    -0.63
     Reich
    -0.63
     age
    -0.63
    POSITIVE LOGITS
    aukee
    1.09
    atche
    1.03
    acan
    0.94
    aska
    0.93
    oga
    0.90
    aun
    0.89
     Prairie
    0.87
    ocket
    0.87
    auga
    0.86
    onga
    0.86
    Activations Density 0.116%

    No Known Activations