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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. 2-RES-JB
    6. 12102
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Stats
    -0.74
    oidal
    -0.71
    Sche
    -0.71
    >[
    -0.69
    Login
    -0.68
     whence
    -0.68
    Command
    -0.66
    Fac
    -0.66
    Ad
    -0.66
    Cond
    -0.65
    POSITIVE LOGITS
     bilingual
    0.83
    EStreamFrame
    0.79
    ierrez
    0.77
     Taiwanese
    0.71
    zel
    0.70
     joking
    0.68
    idav
    0.65
     Lauder
    0.65
    veyard
    0.65
    astics
    0.65
    Activations Density 0.000%

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