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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. 8-RES-JB
    11. 11908
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    INDEX
    Explanations

    references to the concept of a restaurant

    oai_token-act-pair · gpt-3.5-turbo

    words related to restaurants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ioxide
    -0.92
     Measures
    -0.65
    vernment
    -0.65
    20439
    -0.64
     spores
    -0.64
    OX
    -0.64
     Ake
    -0.62
    byss
    -0.62
    ignty
    -0.62
    track
    -0.61
    POSITIVE LOGITS
     Restaur
    1.01
     restaurant
    1.00
     restaurants
    0.99
     Restaurant
    0.97
     establishments
    0.96
     menus
    0.89
     eater
    0.88
    eteria
    0.87
     establishment
    0.86
     catering
    0.85
    Activations Density 0.054%

    No Known Activations