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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. 3-RES-JB
    11. 22991
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    Explanations

    phrases related to product descriptions or mentions

    oai_token-act-pair · gpt-3.5-turbo

    references to products and product-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLASSIFIED
    -0.66
     Brother
    -0.65
    laus
    -0.65
    apo
    -0.65
    aft
    -0.64
     Leone
    -0.63
     Manor
    -0.62
     sow
    -0.62
     Shades
    -0.62
     Marketable
    -0.62
    POSITIVE LOGITS
    ivity
    1.24
    ively
    1.08
    iveness
    0.94
    ivities
    0.87
     packaging
    0.83
    Products
    0.83
    Hunt
    0.79
    urer
    0.79
    Interstitial
    0.77
    ocratic
    0.77
    Activations Density 0.022%

    No Known Activations