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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. 6-RES-JB
    11. 7328
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    INDEX
    Explanations

    phrases related to rankings, such as "most popular" or "best of all time"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the estimation of movies, shows, and other content as "the best" or "most popular" across different categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.77
    tti
    -0.76
    pathy
    -0.70
    rocal
    -0.69
    uations
    -0.68
    Å¡
    -0.65
    NetMessage
    -0.64
    poke
    -0.63
    uyomi
    -0.63
    hyde
    -0.62
    POSITIVE LOGITS
    ever
    0.91
     ours
    0.86
     EVER
    0.74
     ever
    0.72
     imaginable
    0.71
     theirs
    0.70
     hers
    0.68
     humankind
    0.66
     sorts
    0.64
    icial
    0.64
    Activations Density 0.152%

    No Known Activations