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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. 12057
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    INDEX
    Explanations

    references to restaurant features and menu items

    oai_token-act-pair · gpt-3.5-turbo

    high ratings and positive descriptions related to dining experiences

    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
    20439
    -0.81
     Bonds
    -0.81
     Journals
    -0.80
    adobe
    -0.78
    mA
    -0.74
    aiden
    -0.74
    abuse
    -0.73
     Gamergate
    -0.72
     ETF
    -0.72
     Mathematics
    -0.72
    POSITIVE LOGITS
     tacos
    1.61
     cuisine
    1.56
     diner
    1.53
     steak
    1.52
     menu
    1.49
     burgers
    1.49
     waiter
    1.48
     chef
    1.48
     restaurant
    1.47
     dishes
    1.47
    Activations Density 0.676%

    No Known Activations