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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. 10-RES-JB
    11. 16260
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    INDEX
    Explanations

    mentions of sports teams and athletes, particularly in the context of specific events or achievements

    oai_token-act-pair · gpt-3.5-turbo

    names of universities, sports teams, and notable players in athletics

    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
     POLITICO
    -1.02
    doms
    -0.80
    rooms
    -0.78
    AMS
    -0.75
    rons
    -0.74
    rology
    -0.71
    anamo
    -0.69
     workshops
    -0.68
    adders
    -0.66
     Canaver
    -0.65
    POSITIVE LOGITS
     standout
    1.21
     alum
    1.18
     performer
    1.15
     teammate
    1.11
     winner
    1.11
     runner
    1.09
     veteran
    1.09
     footballer
    1.08
     athlete
    1.07
     superstar
    1.06
    Activations Density 0.208%

    No Known Activations