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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. 6-RES-JB
    11. 20419
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    INDEX
    Explanations

    instructions for baking or cooking

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.74
    awks
    -0.71
     prostitutes
    -0.68
     Samar
    -0.68
     Oswald
    -0.66
    acebook
    -0.66
     Yar
    -0.65
    udicrous
    -0.65
     Fenrir
    -0.61
    adium
    -0.61
    POSITIVE LOGITS
     Directions
    0.85
    Optional
    0.84
     freezer
    0.83
     Instructions
    0.81
    Assembly
    0.80
    Care
    0.79
    grad
    0.79
    riger
    0.79
    Ingredients
    0.78
    Decre
    0.77
    Activations Density 0.291%

    No Known Activations