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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. 6-RES-JB
    11. 14092
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    Explanations

    statistics and metrics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistical performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.84
    opol
    -0.80
     investig
    -0.69
    Asia
    -0.68
    actionDate
    -0.68
    idon
    -0.67
    kat
    -0.66
    ozy
    -0.65
    mun
    -0.65
    kar
    -0.64
    POSITIVE LOGITS
     ratio
    0.95
     coefficient
    0.90
    orsi
    0.88
     squared
    0.88
     Ratio
    0.87
     ratios
    0.85
     Percentage
    0.84
     Rating
    0.81
     (.
    0.81
     stats
    0.79
    Activations Density 0.114%

    No Known Activations