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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. 11-RES-JB
    6. 19603
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    INDEX
    Explanations

    mentions of prominent individuals or entities, potentially related to sports or business

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the name "Lion" or variations of it

    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
    herty
    -0.76
    RESULTS
    -0.70
    kson
    -0.64
    raction
    -0.64
    \/\/
    -0.63
    UR
    -0.60
    >>>>>>>>
    -0.59
    urized
    -0.59
    KNOWN
    -0.57
    urations
    -0.57
    POSITIVE LOGITS
    naire
    1.41
    naires
    1.19
    gnu
    1.11
    ettes
    1.03
    ese
    0.96
    ello
    0.94
    aries
    0.93
    ette
    0.92
    ucl
    0.92
    aires
    0.89
    Activations Density 0.093%

    No Known Activations