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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. 11-RES-JB
    11. 2653
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    Explanations

    references to shopping locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to shopping and shopping-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hered
    -0.79
    ework
    -0.75
    erey
    -0.69
    ioxide
    -0.64
    eworks
    -0.62
    orney
    -0.62
    ilities
    -0.61
     Ridley
    -0.61
    inel
    -0.61
    eded
    -0.61
    POSITIVE LOGITS
     malls
    1.52
     carts
    1.51
     mall
    1.30
     cart
    1.27
     spree
    1.18
     baskets
    1.11
    Cart
    1.07
    cart
    1.04
     basket
    1.01
     Cart
    1.00
    Activations Density 0.034%

    No Known Activations