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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 10495
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oother
    -0.79
    bec
    -0.78
    akov
    -0.72
    kees
    -0.69
    emale
    -0.69
     Colleg
    -0.66
     Lifetime
    -0.66
    current
    -0.65
     2024
    -0.65
    jl
    -0.65
    POSITIVE LOGITS
    ATER
    0.78
     encro
    0.66
     ag
    0.63
     deserts
    0.63
     gore
    0.62
     pand
    0.62
    ater
    0.60
    ouched
    0.60
    dj
    0.59
    onies
    0.59
    Activations Density 0.000%

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