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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. 21433
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    Explanations

    specific sports teams and their players

    oai_token-act-pair · gpt-3.5-turbo

    specific references to sports teams and leagues

    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
    inventoryQuantity
    -0.79
    pmwiki
    -0.77
    soDeliveryDate
    -0.74
    EVA
    -0.74
    enegger
    -0.70
    NetMessage
    -0.66
    bnb
    -0.66
    APE
    -0.65
     relate
    -0.64
    amazon
    -0.62
    POSITIVE LOGITS
     Grizzlies
    1.06
     Bulls
    1.04
     Bears
    1.04
     Sharks
    1.02
     Suns
    1.02
     Bulldogs
    1.02
     Wildcats
    1.01
     Panthers
    0.99
     Hawks
    0.99
     Coyotes
    0.98
    Activations Density 0.133%

    No Known Activations