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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. 9-RES-JB
    6. 6635
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    naire
    -0.73
    naires
    -0.64
     Lauder
    -0.62
    igators
    -0.62
    ittal
    -0.59
     Ceres
    -0.58
     grave
    -0.56
    antly
    -0.56
     Rooney
    -0.55
     Spartans
    -0.55
    POSITIVE LOGITS
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    0.94
    wark
    0.92
    hirt
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    ãĥ©
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    wana
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    pedia
    0.80
    BIP
    0.78
    culosis
    0.78
    azaar
    0.77
    bles
    0.75
    Activations Density 0.102%

    No Known Activations