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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. 11-RES-JB
    11. 6260
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    Explanations

    statistical sports data, specifically focusing on numerical records and performances of athletes

    oai_token-act-pair · gpt-3.5-turbo

    statistical measures related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.69
    ources
    -0.65
    xus
    -0.65
    yang
    -0.63
     cues
    -0.62
     Bezos
    -0.61
    wolves
    -0.61
     Canter
    -0.60
     shapes
    -0.60
    holes
    -0.60
    POSITIVE LOGITS
     ERA
    1.08
     GPA
    0.93
     OPS
    0.85
     record
    0.85
     BA
    0.77
     sterling
    0.77
    record
    0.77
     rating
    0.77
    ERA
    0.76
     unbeaten
    0.75
    Activations Density 0.078%

    No Known Activations