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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 20996
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    INDEX
    Explanations

    the title "sir" in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to authority figures and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.96
     largeDownload
    -0.78
    PRESS
    -0.72
     Victims
    -0.69
    Joy
    -0.66
     Workers
    -0.65
    tails
    -0.64
    Ranked
    -0.64
    ARC
    -0.63
    Researchers
    -0.63
    POSITIVE LOGITS
     sir
    1.36
    Sir
    0.86
    geant
    0.78
     colonel
    0.75
    ysis
    0.74
    entle
    0.73
    atile
    0.72
    dinand
    0.72
    thal
    0.72
     gentleman
    0.71
    Activations Density 0.010%

    No Known Activations