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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. 5101
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    INDEX
    Explanations

    technical information such as manufacturer details, ratings, and release dates

    oai_token-act-pair · gpt-3.5-turbo

    elements related to food, recipes, and nutritional information

    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
    fml
    -0.88
    gae
    -0.83
    ood
    -0.83
    ulz
    -0.81
    livion
    -0.80
     externalToEVAOnly
    -0.80
    raf
    -0.79
    romy
    -0.78
    etsy
    -0.77
    zig
    -0.76
    POSITIVE LOGITS
     Rankings
    1.10
     Details
    1.08
     Dates
    1.08
     Categories
    1.08
     Definition
    1.08
     Rating
    1.00
     Finder
    0.99
     Title
    0.99
     Name
    0.99
     Lists
    0.97
    Activations Density 0.207%

    No Known Activations