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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. 5-RES-JB
    6. 16426
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    INDEX
    Explanations

    keywords related to historical events, particularly World War II

    oai_token-act-pair · gpt-3.5-turbo

    mentions of World War

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obook
    -0.93
    ITY
    -0.80
    ITIES
    -0.77
    OGR
    -0.74
    */(
    -0.72
    aminer
    -0.71
    romeda
    -0.69
    66666666
    -0.69
    uckland
    -0.66
    Choice
    -0.66
    POSITIVE LOGITS
    lord
    1.06
    lords
    1.03
    riors
    0.94
    rior
    0.92
    fare
    0.82
     Patton
    0.79
    bler
    0.78
    fighter
    0.76
     Osw
    0.73
     II
    0.72
    Activations Density 0.024%

    No Known Activations