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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. 9114
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    INDEX
    Explanations

    jersey-related terms and numbers within text

    oai_token-act-pair · gpt-3.5-turbo

    references to sports jerseys and their associated details

    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
    yrinth
    -0.90
    lishes
    -0.82
    moderate
    -0.78
    enthal
    -0.77
    ricular
    -0.75
    audi
    -0.74
    raltar
    -0.74
    demon
    -0.74
    course
    -0.74
    ilib
    -0.73
    POSITIVE LOGITS
     jerseys
    1.15
     jersey
    1.01
    seys
    0.96
     worn
    0.95
     tint
    0.85
     sleeve
    0.83
     sleeves
    0.80
     sweater
    0.80
     shirt
    0.78
     shirts
    0.78
    Activations Density 0.013%

    No Known Activations