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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8695
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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
     Bauer
    -0.75
    ogie
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     Hawkins
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     Julie
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     Kuro
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    Ñı
    -0.69
     disapp
    -0.69
    767
    -0.69
     Garry
    -0.68
    187
    -0.68
    POSITIVE LOGITS
    T
    1.35
    t
    1.34
     Tet
    1.26
    Ts
    1.23
    TD
    1.22
    td
    1.21
    TT
    1.21
    ts
    1.21
    TC
    1.20
    TS
    1.17
    Activations Density 0.874%

    No Known Activations