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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. 3-RES-JB
    11. 16588
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    INDEX
    Explanations

    instances of performance metrics and outcomes in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    statistics related to performances in sports

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.13
    brow
    -0.86
     concess
    -0.77
    APH
    -0.76
    sonian
    -0.73
    cart
    -0.71
    wik
    -0.71
     Wheels
    -0.71
    indust
    -0.69
     âĸº
    -0.67
    POSITIVE LOGITS
     fullback
    0.94
     defenses
    0.91
     turnovers
    0.90
     rookie
    0.89
     conceded
    0.89
     keeper
    0.87
     defensive
    0.85
     teammate
    0.85
     interceptions
    0.84
     opponents
    0.84
    Activations Density 0.135%

    No Known Activations