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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. 5-RES-JB
    6. 6753
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    INDEX
    Explanations

    the name "Eve" at various intensities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Eve" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceutical
    -0.89
    enegger
    -0.77
    Americans
    -0.74
    oros
    -0.69
    omo
    -0.68
    iferation
    -0.67
    alcohol
    -0.67
    oho
    -0.67
    ariat
    -0.67
    pmwiki
    -0.67
    POSITIVE LOGITS
    rette
    1.23
    lyn
    1.22
     Eve
    1.09
    lla
    0.97
    lynn
    0.91
     Valkyrie
    0.88
    lling
    0.83
    ilon
    0.83
     eve
    0.80
    llers
    0.79
    Activations Density 0.019%

    No Known Activations