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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. 480
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    INDEX
    Explanations

    terms related to historical events or movements, specifically the Protestant Reformation and Enlightenment

    oai_token-act-pair · gpt-3.5-turbo

    references to historical movements and concepts related to the Reformation and Enlightenment

    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
    cedented
    -0.92
    lining
    -0.77
    externalActionCode
    -0.73
     ANGEL
    -0.73
    colo
    -0.72
    local
    -0.72
    resident
    -0.71
    yll
    -0.69
    mun
    -0.68
    deck
    -0.67
    POSITIVE LOGITS
     Enlightenment
    0.93
    ivery
    0.82
    utions
    0.79
     Inquisition
    0.75
     enlightenment
    0.75
    ertodd
    0.72
    resy
    0.71
    formation
    0.70
    ruciating
    0.70
    ende
    0.69
    Activations Density 0.036%

    No Known Activations