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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
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    Explanations

    references to a specific person named "Epstein."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Jeffrey Epstein

    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
    cknowled
    -0.73
    mie
    -0.70
    lins
    -0.69
    phis
    -0.68
    itech
    -0.67
    ãĥ´
    -0.67
    ppo
    -0.66
     Poles
    -0.65
    rill
    -0.64
    cknow
    -0.64
    POSITIVE LOGITS
     Epstein
    1.25
    ishment
    0.92
    urance
    0.83
    xual
    0.81
    ishly
    0.79
    Episode
    0.79
    issance
    0.79
    stein
    0.78
    ĸļ
    0.75
    hemer
    0.74
    Activations Density 0.011%

    No Known Activations