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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of American football quarterbacks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "quarterback."

    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
    alia
    -0.79
    asia
    -0.66
    bara
    -0.65
    rely
    -0.63
     Vis
    -0.62
    iji
    -0.61
     âĨij
    -0.61
    cles
    -0.61
     ABS
    -0.60
    inst
    -0.59
    POSITIVE LOGITS
     quarterback
    3.20
     QB
    2.55
     quarterbacks
    2.36
     cornerback
    1.89
     goaltender
    1.81
    QB
    1.80
     linebacker
    1.80
     Heisman
    1.72
     goalie
    1.71
     shortstop
    1.59
    Activations Density 0.022%

    No Known Activations