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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. 2093
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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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    No Comments

    Negative Logits
    staking
    -0.83
    akov
    -0.83
    escription
    -0.82
    ettlement
    -0.77
     helicop
    -0.77
    Charges
    -0.77
     charact
    -0.75
    everal
    -0.74
     mathemat
    -0.73
    cair
    -0.72
    POSITIVE LOGITS
     âĢ
    0.78
    inate
    0.65
    035
    0.64
    baum
    0.61
    ged
    0.59
    iped
    0.59
     Nut
    0.59
     {\
    0.59
     shared
    0.58
    hy
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.