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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. 13290
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    Explanations

    references to sports teams and their opponents

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams and cities

    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
    enegger
    -0.97
    schild
    -0.86
    alore
    -0.76
     Cosponsors
    -0.76
    soDeliveryDate
    -0.71
    ORGE
    -0.71
    bnb
    -0.68
    olkien
    -0.68
     Duterte
    -0.67
    umenthal
    -0.66
    POSITIVE LOGITS
     Royals
    1.00
     Buccaneers
    0.95
     Wolves
    0.93
     Eagles
    0.93
     Falcons
    0.91
     Titans
    0.90
     Chiefs
    0.90
     Hornets
    0.89
     Rams
    0.89
     Giants
    0.88
    Activations Density 0.070%

    No Known Activations