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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21165
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    INDEX
    Explanations

    proper nouns and names, potentially related to news, television, and various industries or professions

    oai_token-act-pair · gpt-3.5-turbo

    individual letters or initials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ornia
    -0.68
    gio
    -0.66
    BuyableInstoreAndOnline
    -0.66
    phia
    -0.65
    ROM
    -0.64
    ORTS
    -0.63
    CLE
    -0.63
    culated
    -0.62
    cium
    -0.61
    pection
    -0.60
    POSITIVE LOGITS
    kov
    0.81
    jad
    0.80
    henko
    0.75
     Cosponsors
    0.75
    iden
    0.73
    vae
    0.73
    obin
    0.72
    kaya
    0.66
    arrett
    0.65
    sson
    0.65
    Activations Density 0.275%

    No Known Activations