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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. 23182
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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
     ber
    -0.67
    arie
    -0.67
     appe
    -0.65
     medi
    -0.64
     Thatcher
    -0.62
     unequ
    -0.61
     invari
    -0.61
     Pengu
    -0.60
     exponent
    -0.60
     notor
    -0.59
    POSITIVE LOGITS
    lihood
    0.79
    corn
    0.77
    FTWARE
    0.73
    grain
    0.71
    brush
    0.68
    ooth
    0.67
     Fol
    0.67
    cli
    0.65
    entanyl
    0.65
    ECTION
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.