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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. 18920
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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
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    Negative Logits
    cffffcc
    -0.81
    enhagen
    -0.75
    ãĥ©ãĥ³
    -0.75
    enegger
    -0.72
    irtual
    -0.71
    ãĥīãĥ©ãĤ´ãĥ³
    -0.70
    ricane
    -0.67
    ATIVE
    -0.66
    imov
    -0.63
    vernment
    -0.63
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.69
    idas
    0.67
     whichever
    0.57
     Tab
    0.57
     curtains
    0.57
    dden
    0.57
     contro
    0.57
    oles
    0.57
    âĻ
    0.56
    appers
    0.56
    Activations Density 0.000%

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