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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. 23735
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    Explanations

    the names of sports teams and cities, particularly in the context of sports news and events

    oai_token-act-pair · gpt-3.5-turbo

    the names of cities or teams associated with sports

    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
     Cosponsors
    -0.78
     dx
    -0.75
    enegger
    -0.74
    ndum
    -0.72
    inar
    -0.70
    cius
    -0.69
    hops
    -0.66
     dy
    -0.65
    schild
    -0.64
     Lauder
    -0.63
    POSITIVE LOGITS
     Royals
    1.00
     Athletics
    0.95
     Grizzlies
    0.92
     Pelicans
    0.92
     Rockets
    0.91
     Wolves
    0.90
     Raptors
    0.89
     Giants
    0.88
     Chiefs
    0.88
     Falcons
    0.87
    Activations Density 0.083%

    No Known Activations