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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. 2-RES-JB
    11. 8200
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    isters
    -0.68
     crossings
    -0.67
    frames
    -0.64
     tender
    -0.63
    frame
    -0.61
    emis
    -0.61
     prizes
    -0.60
    inery
    -0.59
    lift
    -0.58
    ufact
    -0.58
    POSITIVE LOGITS
    cum
    0.77
    ccording
    0.76
    yrus
    0.70
    icio
    0.68
    holm
    0.67
    ihar
    0.67
    BALL
    0.66
    upid
    0.65
    gow
    0.65
    itness
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.