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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. 8-RES-JB
    11. 12860
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    Explanations

    details related to sports events and locations

    oai_token-act-pair · gpt-3.5-turbo

    specific sports event details and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebin
    -0.94
     vulner
    -0.88
    eln
    -0.86
    ursive
    -0.83
    iless
    -0.83
     interrog
    -0.81
    ertodd
    -0.81
    ilib
    -0.80
    earcher
    -0.79
    ndra
    -0.79
    POSITIVE LOGITS
     jerseys
    1.40
     Stadium
    1.40
     SPORTS
    1.36
     stadium
    1.28
     Coliseum
    1.24
     Sports
    1.24
     stadiums
    1.24
     NASCAR
    1.23
     ESPN
    1.23
     Basketball
    1.22
    Activations Density 1.376%

    No Known Activations