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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. 6-RES-JB
    11. 20702
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    Explanations

    NFL team names, specifically focusing on the San Francisco 49ers

    oai_token-act-pair · gpt-3.5-turbo

    references to the San Francisco 49ers football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovie
    -0.99
    mble
    -0.99
    odynam
    -0.80
    isson
    -0.73
    icago
    -0.69
     periodic
    -0.64
    illin
    -0.61
     Greenwald
    -0.61
     maturity
    -0.61
    odynamic
    -0.59
    POSITIVE LOGITS
    ¢
    1.01
    eteen
    0.92
    IELD
    0.87
    00
    0.86
     cents
    0.86
    ERS
    0.85
    MJ
    0.84
    eteenth
    0.84
    %-
    0.81
    ::::::::
    0.79
    Activations Density 0.026%

    No Known Activations