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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. 11-RES-JB
    6. 4645
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    Explanations

    various technical terms and measurements, including abbreviations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     princ
    -0.80
     accrued
    -0.74
     trump
    -0.70
     Samar
    -0.70
     cher
    -0.69
     stewards
    -0.69
     holidays
    -0.65
     parasite
    -0.65
     imperson
    -0.64
     Respect
    -0.64
    POSITIVE LOGITS
    MF
    1.77
    CB
    1.75
    RW
    1.74
    LB
    1.74
    BG
    1.74
    CM
    1.74
    DK
    1.72
    E
    1.72
    B
    1.71
    D
    1.71
    Activations Density 0.101%

    No Known Activations