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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. 3-RES-JB
    11. 24414
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    Explanations

    words related to professional wrestling, specifically focusing on wrestlers and events in WrestleMania

    oai_token-act-pair · gpt-3.5-turbo

    references to professional wrestling events and key figures

    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
    milo
    -0.86
    abet
    -0.77
    yrinth
    -0.76
    unal
    -0.75
    rals
    -0.74
    arine
    -0.74
    olulu
    -0.72
    SPONSORED
    -0.69
    Frameworks
    -0.69
    etheless
    -0.69
    POSITIVE LOGITS
     Wrestle
    1.06
     McMahon
    1.00
    Mania
    0.97
     Cena
    0.88
     Rollins
    0.87
     NXT
    0.87
     WWE
    0.85
     backstage
    0.81
     Myster
    0.79
     RAW
    0.78
    Activations Density 0.050%

    No Known Activations