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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. 16609
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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
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    Negative Logits
    lihood
    -0.82
    endor
    -0.80
    elsen
    -0.76
    cation
    -0.74
    layer
    -0.73
    ancies
    -0.71
    olor
    -0.70
    ãĥĥãĤ¯
    -0.70
    ennett
    -0.69
    sson
    -0.69
    POSITIVE LOGITS
    OPLE
    0.89
     NAACP
    0.72
     Goo
    0.71
     Lucifer
    0.68
     philos
    0.68
     Advocate
    0.68
     Satanic
    0.67
    FTWARE
    0.66
     READ
    0.65
     forgiven
    0.64
    Activations Density 0.000%

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