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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. 5-RES-JB
    6. 4103
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    Explanations

    sporting event matchups

    oai_token-act-pair · gpt-3.5-turbo

    sports matchups or competitions between teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    shire
    -0.77
    spot
    -0.71
    collar
    -0.70
    oola
    -0.68
     liner
    -0.66
    Uncommon
    -0.66
    ergy
    -0.64
    bean
    -0.64
    estern
    -0.64
    ecided
    -0.63
    POSITIVE LOGITS
    creen
    0.77
    ampa
    0.67
    .,
    0.64
    ipers
    0.64
     RHP
    0.63
    idy
    0.62
    ils
    0.61
    illa
    0.61
    kus
    0.61
     headphones
    0.59
    Activations Density 0.013%

    No Known Activations