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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. 7-RES-JB
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    Explanations

    mentions of the United States of America

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NB
    -0.76
    heed
    -0.76
    EStreamFrame
    -0.72
    operation
    -0.70
    TY
    -0.69
    orders
    -0.68
    enser
    -0.66
    nit
    -0.65
    ivation
    -0.65
    cise
    -0.64
    POSITIVE LOGITS
     Airlines
    0.99
    ICAN
    0.95
     Idol
    0.89
     Samoa
    0.81
     Mov
    0.80
    icans
    0.76
     Tonight
    0.74
     Online
    0.73
     Hust
    0.73
     Today
    0.71
    Activations Density 0.031%

    No Known Activations