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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6421
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    INDEX
    Explanations

    sports-related statistics and rankings

    oai_token-act-pair · gpt-3.5-turbo

    statistical rankings and performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.77
     vigil
    -0.73
    Sov
    -0.70
     seminars
    -0.69
    aram
    -0.65
     barr
    -0.64
    hops
    -0.64
    iot
    -0.62
    grad
    -0.62
     repr
    -0.62
    POSITIVE LOGITS
    adjusted
    0.95
     rankings
    0.91
     standings
    0.89
     Median
    0.86
     Adjusted
    0.83
    scoring
    0.83
    minimum
    0.81
     Rankings
    0.81
    CHA
    0.80
     Ranking
    0.79
    Activations Density 0.361%

    No Known Activations