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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. 2-RES-JB
    11. 21544
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    INDEX
    Explanations

    sports scores or game results

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports and game outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.85
    netflix
    -0.81
    kell
    -0.78
    anke
    -0.76
    anol
    -0.74
    aran
    -0.69
    romeda
    -0.66
    scan
    -0.66
    untu
    -0.65
     fert
    -0.65
    POSITIVE LOGITS
     consecutive
    1.02
     preseason
    0.94
     scrimmage
    0.94
     teammate
    0.90
     teammates
    0.89
     interceptions
    0.87
     Bulldogs
    0.87
     playoff
    0.86
    QB
    0.86
     championships
    0.82
    Activations Density 0.285%

    No Known Activations