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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

    keywords related to wealthy individuals, specifically billionaires

    oai_token-act-pair · gpt-3.5-turbo

    mentions of billionaires

    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
    yrinth
    -0.92
    ña
    -0.87
    phis
    -0.81
    ibaba
    -0.75
    raints
    -0.74
    aper
    -0.73
    Fed
    -0.72
    eway
    -0.70
    ename
    -0.69
    Fire
    -0.68
    POSITIVE LOGITS
     millionaire
    0.85
     millionaires
    0.84
     billionaires
    0.83
     businessman
    0.80
     philanthrop
    0.79
     Sheldon
    0.76
     investor
    0.74
     donor
    0.74
     benef
    0.73
     billionaire
    0.73
    Activations Density 0.013%

    No Known Activations