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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. 7-RES-JB
    6. 19556
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    INDEX
    Explanations

    names of influential persons, such as leaders, revolutionaries, and figures in various fields

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to leadership and influential figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciplinary
    -0.73
    erial
    -0.72
     differed
    -0.71
    cffffcc
    -0.71
    isoft
    -0.70
     confir
    -0.69
    MpServer
    -0.67
    aber
    -0.66
     clutch
    -0.65
    ivable
    -0.64
    POSITIVE LOGITS
     Stephen
    1.02
     Nathan
    1.00
     Steve
    1.00
     Tony
    1.00
     Gina
    1.00
     David
    1.00
     Robert
    0.99
     Bruce
    0.97
     Andrew
    0.96
     Larry
    0.96
    Activations Density 0.333%

    No Known Activations