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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. 0-RES-JB
    11. 9573
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    Explanations

    terms related to sports brands

    oai_token-act-pair · gpt-3.5-turbo

    references to "Sport"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cantor
    -0.77
    oken
    -0.70
    vir
    -0.66
     evil
    -0.66
     exorc
    -0.65
     colon
    -0.65
    rils
    -0.64
    emonic
    -0.64
    uked
    -0.64
    agos
    -0.63
    POSITIVE LOGITS
     Sport
    3.99
    Sport
    2.69
     sport
    2.18
     Sports
    2.18
    Sports
    1.90
     SPORTS
    1.66
    sports
    1.62
     sports
    1.61
     Racing
    1.36
     sporting
    1.33
    Activations Density 0.015%

    No Known Activations