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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. 10-RES-JB
    6. 17154
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    INDEX
    Explanations

    names of professions or roles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of positive attributes or characteristics related to people, teams, and performance

    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
    Downloadha
    -0.69
    soDeliveryDate
    -0.66
     dreaded
    -0.65
     mandated
    -0.64
     omin
    -0.63
     relinqu
    -0.63
    owered
    -0.63
     guiActiveUn
    -0.63
     controvers
    -0.63
    NetMessage
    -0.62
    POSITIVE LOGITS
    smanship
    0.93
     luck
    0.88
    manship
    0.87
     mate
    0.83
     payoff
    0.82
     guy
    0.81
     experience
    0.78
    bye
    0.78
     performance
    0.76
     achie
    0.75
    Activations Density 0.349%

    No Known Activations