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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    proper nouns related to the name "Basil"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Basil" along with contexts related to culinary uses or species

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kanye
    -0.77
    chie
    -0.73
    Driver
    -0.72
    Frame
    -0.72
     Quit
    -0.71
    ket
    -0.71
     NASCAR
    -0.70
     iPod
    -0.68
    Bey
    -0.68
     Tee
    -0.68
    POSITIVE LOGITS
     basil
    3.85
     Basil
    3.31
     pest
    1.24
     Cathedral
    1.23
    mary
    1.23
     herbs
    1.22
     rad
    1.19
    Bas
    1.18
     cathedral
    1.15
     Seraph
    1.08
    Activations Density 0.041%

    No Known Activations