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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. 2-RES-JB
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    Explanations

    mentions of the sports team "San Francisco 49ers"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "49ers" football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icago
    -0.88
    mble
    -0.87
    ovie
    -0.79
    odynam
    -0.72
     periodic
    -0.70
    urus
    -0.68
    ugu
    -0.66
    asio
    -0.64
    stellar
    -0.63
     peril
    -0.63
    POSITIVE LOGITS
    eteenth
    1.00
    eteen
    0.95
    IELD
    0.90
    ¢
    0.90
    ety
    0.88
    00
    0.87
     cents
    0.87
    teen
    0.84
    jar
    0.84
    ield
    0.84
    Activations Density 0.019%

    No Known Activations