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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. 10-RES-JB
    11. 16374
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    Explanations

    phrases related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    names and references associated with specific individuals in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itives
    -0.66
    yip
    -0.60
     apprentices
    -0.58
     Mahjong
    -0.57
    itiveness
    -0.57
    verty
    -0.56
    uscript
    -0.55
    leground
    -0.54
     whistle
    -0.53
    utra
    -0.53
    POSITIVE LOGITS
    ij士
    0.76
    phas
    0.71
    alion
    0.70
    asio
    0.65
    ologne
    0.64
    antis
    0.63
    andro
    0.62
     Canter
    0.62
    hyde
    0.62
    icio
    0.61
    Activations Density 0.061%

    No Known Activations