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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. 4-RES-JB
    11. 4662
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    INDEX
    Explanations

    names of specific sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to specific teams, particularly in a competitive or sports context

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

    No Comments

    Negative Logits
    sbm
    -0.84
    ously
    -0.83
    ocene
    -0.81
    itures
    -0.79
    phe
    -0.77
    orrow
    -0.73
    sole
    -0.72
     tremend
    -0.72
    tumblr
    -0.72
     condem
    -0.72
    POSITIVE LOGITS
    mates
    1.11
    liquid
    0.97
    Liquid
    0.95
     mates
    0.93
     Solo
    0.92
    mate
    0.90
     Rocket
    0.88
     Fortress
    0.86
    peak
    0.82
     Liquid
    0.82
    Activations Density 0.038%

    No Known Activations