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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. 0-RES-JB
    6. 14250
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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
     surg
    -0.73
     manned
    -0.71
     excavation
    -0.70
    ittee
    -0.69
    araoh
    -0.69
    ledged
    -0.68
     nomine
    -0.67
    ithing
    -0.67
    cca
    -0.66
    atives
    -0.65
    POSITIVE LOGITS
    Joy
    0.68
    Season
    0.68
    CAR
    0.66
    car
    0.65
    Wide
    0.65
    mb
    0.64
    CHR
    0.64
     curfew
    0.64
    CTV
    0.63
    GL
    0.63
    Activations Density 0.000%

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