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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. 6-RES-JB
    6. 2359
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    Explanations

    phrases or names related to organizations or institutions

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names related to institutions, places, or significant entities

    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
    retty
    -0.83
    earances
    -0.83
    icipated
    -0.82
    rys
    -0.71
    reciation
    -0.67
    itiveness
    -0.67
    iliary
    -0.64
     omega
    -0.61
     Freak
    -0.61
    ologies
    -0.59
    POSITIVE LOGITS
    ipedia
    0.76
    SourceFile
    0.75
    Vi
    0.71
    steen
    0.71
    Ped
    0.67
    abis
    0.66
    ornia
    0.65
     Cla
    0.63
    anders
    0.62
    imaru
    0.62
    Activations Density 0.206%

    No Known Activations