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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. 10-RES-JB
    11. 16390
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    INDEX
    Explanations

    financial and numerical information, such as dollar amounts and percentages

    oai_token-act-pair · gpt-3.5-turbo

    financial data and statistics

    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
     Riy
    -0.78
    EStreamFrame
    -0.77
     Binding
    -0.69
     printing
    -0.68
     Printing
    -0.67
     Ripple
    -0.64
     crib
    -0.64
     Scrib
    -0.63
     Rolls
    -0.62
     sou
    -0.62
    POSITIVE LOGITS
     69
    1.46
     71
    1.45
     63
    1.44
     74
    1.43
     79
    1.43
     61
    1.42
     62
    1.40
     73
    1.40
     77
    1.40
     68
    1.40
    Activations Density 0.129%

    No Known Activations