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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. 5225
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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
    erald
    -0.76
    bent
    -0.73
    ety
    -0.71
    phrine
    -0.71
    orically
    -0.64
     challeng
    -0.61
    awk
    -0.60
    Eye
    -0.59
    ird
    -0.58
    trace
    -0.58
    POSITIVE LOGITS
    ILLE
    0.81
     PRESS
    0.69
    usha
    0.69
     KR
    0.65
    atives
    0.65
    velt
    0.62
    ilater
    0.62
    nesday
    0.62
     Azerb
    0.61
    aos
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.