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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. 12942
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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
     Monstrous
    -0.74
    tackle
    -0.72
     Fear
    -0.70
    Fear
    -0.68
    ĸļ
    -0.68
     Lilly
    -0.67
     Carnage
    -0.67
    Driver
    -0.66
     Tackle
    -0.66
    Beast
    -0.65
    POSITIVE LOGITS
    ðĿ
    0.74
    /
    0.67
    )/
    0.66
     notes
    0.65
    any
    0.64
    aband
    0.64
    æ
    0.63
     survives
    0.61
    alach
    0.60
     archaeologists
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.