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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 17151
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    INDEX
    Explanations

    phrases related to sports events or achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to games and seasons in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     };
    -0.66
    ibles
    -0.63
    iHUD
    -0.61
    resa
    -0.61
    hetti
    -0.60
     Chocobo
    -0.58
     circulation
    -0.58
    oldown
    -0.57
    imation
    -0.56
    adena
    -0.55
    POSITIVE LOGITS
     cautiously
    1.09
     expecting
    1.06
     unprepared
    1.04
     knowing
    1.03
     believing
    1.02
     differently
    1.01
     squarely
    0.95
     unsc
    0.93
     intending
    0.93
     wearing
    0.90
    Activations Density 0.536%

    No Known Activations