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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. 2-RES-JB
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    Explanations

    the word "soy"

    oai_token-act-pair · gpt-4-turbo

    words related to soy products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of soy and soy-related products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CBI
    -0.74
     Exile
    -0.73
     Grateful
    -0.69
    hani
    -0.68
     Aliens
    -0.67
     Guardians
    -0.67
     Represent
    -0.66
     Imran
    -0.65
     Hitchcock
    -0.65
     Att
    -0.64
    POSITIVE LOGITS
    bean
    1.57
    beans
    1.49
     soy
    0.97
    bowl
    0.92
    wu
    0.90
    food
    0.89
     sauce
    0.88
    ono
    0.85
     tofu
    0.85
    lda
    0.84
    Activations Density 0.003%

    No Known Activations