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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. 11-RES-JB
    11. 4915
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    Explanations

    words related to titles or names, such as those of movies, books, games, and people

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to video games and their associated titles or elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zos
    -0.67
    MENTS
    -0.65
    realDonaldTrump
    -0.65
    rolling
    -0.64
    tops
    -0.63
     toler
    -0.61
    icative
    -0.61
    gha
    -0.60
     exception
    -0.60
    aneously
    -0.59
    POSITIVE LOGITS
    peed
    1.39
    mith
    1.34
    hift
    1.33
    poon
    1.26
    ilver
    1.22
    chool
    1.22
    pring
    1.20
    pire
    1.19
    cape
    1.19
    poons
    1.19
    Activations Density 0.237%

    No Known Activations