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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. 7025
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    INDEX
    Explanations

    sports statistics and data points related to performance

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and performance metrics in sports contexts

    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
     preparations
    -0.74
     mobil
    -0.72
     organisers
    -0.71
     postp
    -0.70
    wives
    -0.70
     Prepar
    -0.69
    actionDate
    -0.69
    icultural
    -0.67
    mop
    -0.66
     Malaysia
    -0.66
    POSITIVE LOGITS
     averaged
    1.32
     Adjusted
    1.30
     averaging
    1.29
     averages
    1.29
    adjusted
    1.14
     regress
    1.12
    Percent
    1.12
    stats
    1.09
    Average
    1.06
     average
    1.06
    Activations Density 0.544%

    No Known Activations