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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. 4089
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    Explanations

    words related to extremely large quantities of money or assets

    oai_token-act-pair · gpt-3.5-turbo

    references to large amounts of money, specifically trillions and billions of dollars

    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
     mood
    -0.66
    aple
    -0.64
    âĹı
    -0.63
    mentioned
    -0.63
     Condition
    -0.63
    aign
    -0.63
     Manifest
    -0.62
    grim
    -0.61
     directions
    -0.61
     Stro
    -0.60
    POSITIVE LOGITS
     billions
    1.11
     trillions
    1.01
    undo
    0.98
     dollars
    0.90
    dollar
    0.82
    uador
    0.80
    urance
    0.79
    ervative
    0.79
    atis
    0.78
    romeda
    0.77
    Activations Density 0.016%

    No Known Activations