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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. 21320
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    Explanations

    phrases related to sports and statistics

    oai_token-act-pair · gpt-3.5-turbo

    statistical information related to baseball 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
     Kyr
    -0.99
     Serbia
    -0.95
     Lithuania
    -0.89
     psy
    -0.86
     Kos
    -0.86
     ank
    -0.85
     Sut
    -0.85
     berries
    -0.84
     Balkans
    -0.84
     Paras
    -0.83
    POSITIVE LOGITS
    Ford
    2.79
     Ford
    2.70
     Mustang
    1.27
     Indy
    1.26
     Chevy
    1.25
     TTC
    1.12
    Detroit
    1.12
     Chevrolet
    1.12
     Fiat
    1.12
     automakers
    1.11
    Activations Density 0.137%

    No Known Activations