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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. 9-RES-JB
    11. 3656
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    Explanations

    large financial figures, possibly indicating monetary amounts or losses

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to financial figures and monetary amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hess
    -0.79
    quickShipAvailable
    -0.70
     Blend
    -0.69
    bart
    -0.68
    Appearance
    -0.68
    redd
    -0.67
    girls
    -0.67
    Ctrl
    -0.64
     Retro
    -0.62
    Tan
    -0.62
    POSITIVE LOGITS
     million
    1.60
     billion
    1.44
    million
    1.28
     crore
    1.21
     Million
    1.19
     Billion
    1.15
    illion
    1.10
     lakh
    1.09
    billion
    1.08
     MILL
    1.06
    Activations Density 0.087%

    No Known Activations