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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

    references to the term "shaw"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific person or character named "Shaw."

    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
     Plato
    -0.66
     ADV
    -0.66
     liquid
    -0.65
     Bo
    -0.63
     Prot
    -0.62
     Flav
    -0.61
     default
    -0.61
     alt
    -0.59
     Bi
    -0.59
     Alt
    -0.58
    POSITIVE LOGITS
    shaw
    5.08
    haw
    1.10
    swick
    1.09
    cair
    0.98
    gow
    0.97
    gee
    0.97
     Shaw
    0.95
    kefeller
    0.94
    ruff
    0.94
    street
    0.91
    Activations Density 0.020%

    No Known Activations