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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. 3-RES-JB
    6. 7444
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    naissance
    -0.76
    actionDate
    -0.71
    ccess
    -0.67
    lege
    -0.66
    ||||
    -0.66
    atural
    -0.66
    ndra
    -0.65
     wal
    -0.65
    rency
    -0.65
    anguage
    -0.64
    POSITIVE LOGITS
    LM
    0.78
    ICS
    0.74
    CI
    0.66
    igham
    0.65
    DO
    0.65
     Io
    0.64
    wav
    0.63
    NH
    0.63
    generated
    0.63
    IU
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.