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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. 0-RES-JB
    11. 528
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ange
    -0.77
    upiter
    -0.74
    arent
    -0.73
    NetMessage
    -0.71
    ------------------------------------------------
    -0.67
     Niet
    -0.66
    vir
    -0.66
    pse
    -0.65
    ĻĤ
    -0.65
    Gre
    -0.64
    POSITIVE LOGITS
     âĢ
    0.76
     Duff
    0.72
     meanwhile
    0.66
     CAT
    0.66
     critics
    0.64
    orescence
    0.63
     lest
    0.62
     however
    0.62
    otropic
    0.61
     DG
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.