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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. 3-RES-JB
    6. 11670
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    Explanations

    words related to specific person names, particularly "Jae."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their roles or contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mie
    -0.82
    auld
    -0.78
    assium
    -0.75
     Cosponsors
    -0.74
    ivalent
    -0.71
    ified
    -0.70
    ion
    -0.68
    Unity
    -0.68
    roud
    -0.68
    Ó
    -0.68
    POSITIVE LOGITS
    gers
    0.86
    ger
    0.84
    xit
    0.80
    choes
    0.79
    ppel
    0.79
    gency
    0.77
    gel
    0.75
    vironment
    0.74
    velop
    0.71
    gling
    0.69
    Activations Density 0.021%

    No Known Activations