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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
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    Explanations

    mentions of the name "Epstein."

    oai_token-act-pair · gpt-3.5-turbo

    references to the individual Jeffrey Epstein

    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
    LESS
    -0.78
    phis
    -0.72
    Trend
    -0.70
    Dim
    -0.69
     Bulgar
    -0.68
     citiz
    -0.67
     Bulgarian
    -0.65
     Colo
    -0.64
    give
    -0.63
    ¯
    -0.63
    POSITIVE LOGITS
     Epstein
    1.17
    arella
    1.01
    stein
    0.96
    urance
    0.89
    etta
    0.86
    bach
    0.85
    anz
    0.84
    hetti
    0.79
    enstein
    0.78
    idem
    0.78
    Activations Density 0.011%

    No Known Activations