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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. 20736
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    INDEX
    Explanations

    words related to names and titles, specifically people, organizations, and events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals or organizations, particularly those represented by certain titles or names

    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
    thumbnails
    -0.62
     Hutch
    -0.61
     Wonderland
    -0.60
     Amend
    -0.60
     Monroe
    -0.60
     "$:/
    -0.57
    romeda
    -0.56
     Hamm
    -0.55
     Matter
    -0.55
     Fraz
    -0.55
    POSITIVE LOGITS
    ciples
    1.18
    cipled
    1.16
    cess
    0.87
    bably
    0.85
    ety
    0.78
    eton
    0.76
    incial
    0.74
    fecture
    0.70
    ciation
    0.69
    ongyang
    0.69
    Activations Density 0.064%

    No Known Activations