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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. 0-RES-JB
    6. 15538
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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
    Not in Any Lists

    No Comments

    Negative Logits
    insula
    -0.78
    BRE
    -0.76
    elman
    -0.73
    ean
    -0.72
    emort
    -0.72
    orsi
    -0.71
    iera
    -0.70
    wikipedia
    -0.69
    icult
    -0.68
    iece
    -0.68
    POSITIVE LOGITS
    agar
    0.79
    brook
    0.67
     MJ
    0.66
     Dw
    0.65
    NetMessage
    0.58
    housing
    0.58
     NV
    0.57
     Springs
    0.57
     drainage
    0.56
     Sprite
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.