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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. 4816
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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
    sbm
    -0.76
     Wass
    -0.76
    dose
    -0.70
    VERSION
    -0.69
    NULL
    -0.69
     Drawing
    -0.67
    rx
    -0.67
    MAS
    -0.66
    Ľ
    -0.66
     Reporting
    -0.65
    POSITIVE LOGITS
    terior
    0.78
    iceps
    0.75
    ocaust
    0.70
    ice
    0.68
    inery
    0.66
    arta
    0.66
    iple
    0.66
     oppress
    0.65
    itution
    0.64
     overc
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.