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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. 1-RES-JB
    11. 2555
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    Explanations

    References to clothing items, specifically jerseys

    oai_token-act-pair · gpt-3.5-turbo

    references to jerseys, specifically in contexts related to sports

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    speech
    -0.80
    ppings
    -0.75
    yrinth
    -0.74
    ths
    -0.73
    exper
    -0.72
    suff
    -0.71
    demon
    -0.71
    stem
    -0.70
    dit
    -0.68
    moderate
    -0.68
    POSITIVE LOGITS
     jersey
    1.31
     jerseys
    1.21
    seys
    0.97
     sweater
    0.77
     sponsorship
    0.76
    ipers
    0.74
     sleeve
    0.72
     sleeves
    0.72
     goodbye
    0.70
     shirt
    0.69
    Activations Density 0.005%

    No Known Activations