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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. 3-RES-JB
    11. 17238
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ipeg
    -0.87
    pez
    -0.86
    otrop
    -0.81
    yrim
    -0.81
    ilitarian
    -0.77
    itaire
    -0.76
    lyak
    -0.75
    lections
    -0.74
    yt
    -0.74
    xit
    -0.73
    POSITIVE LOGITS
     Siren
    0.82
     Kirin
    0.80
     BW
    0.73
     Blaz
    0.73
     Cunningham
    0.71
     Bans
    0.70
     Viz
    0.68
    Tenn
    0.68
     Watts
    0.67
     ADS
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.