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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21050
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    Explanations

    numeric values related to financial figures

    oai_token-act-pair · gpt-3.5-turbo

    monetary values or financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Stew
    -0.80
    hess
    -0.80
    tin
    -0.80
    Hay
    -0.70
    bart
    -0.69
    Barn
    -0.69
    redd
    -0.68
    ModLoader
    -0.68
    colour
    -0.67
     SS
    -0.67
    POSITIVE LOGITS
     million
    1.74
    million
    1.33
     billion
    1.30
     Million
    1.26
     crore
    1.12
     millions
    1.11
     MILL
    1.03
    illion
    1.03
     thousand
    1.02
     Billion
    1.01
    Activations Density 0.063%

    No Known Activations