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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. 2-RES-JB
    6. 19195
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    INDEX
    Explanations

    words related to the publication "Fortune" and Fortune 500 companies

    oai_token-act-pair · gpt-3.5-turbo

    references to Fortune 500 companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liam
    -0.82
    Redditor
    -0.76
    netflix
    -0.75
    ifiers
    -0.75
    ded
    -0.75
    76561
    -0.73
    alcohol
    -0.72
    ream
    -0.72
    ounty
    -0.71
    itations
    -0.70
    POSITIVE LOGITS
     Fortune
    0.93
     nomine
    0.75
     tremend
    0.73
    enberg
    0.71
     Magazine
    0.71
     Cookie
    0.71
    inarily
    0.69
     mosqu
    0.65
     Bunny
    0.64
     Ceres
    0.63
    Activations Density 0.004%

    No Known Activations