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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. 1-RES-JB
    6. 7617
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    î
    -0.93
    gans
    -0.72
    ESA
    -0.72
    uld
    -0.71
    plain
    -0.68
    casters
    -0.67
    esta
    -0.67
    Rs
    -0.66
    grave
    -0.66
     ·
    -0.64
    POSITIVE LOGITS
     Chomsky
    0.72
    atown
    0.65
     ethic
    0.64
     ancest
    0.63
     debunk
    0.60
     specialization
    0.59
     repet
    0.58
    oteric
    0.57
    rait
    0.57
     Chinatown
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.