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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. 2-RES-JB
    11. 22260
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    Explanations

    proper nouns, specifically focusing on names such as "Hafiz" and "Oprah Winfrey"

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent individuals, particularly those named Hafiz and others in the media or social context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.77
    ebus
    -0.76
     morale
    -0.69
    vironment
    -0.65
    phabet
    -0.64
    gression
    -0.64
    ishops
    -0.64
    onomy
    -0.63
    BLIC
    -0.63
    olan
    -0.63
    POSITIVE LOGITS
     Haf
    1.19
     Jinn
    0.84
    stones
    0.79
    Thumbnail
    0.78
     "$:/
    0.77
    lore
    0.75
    çļ
    0.73
    shire
    0.72
    ulla
    0.72
    ource
    0.71
    Activations Density 0.016%

    No Known Activations