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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. 17721
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    Explanations

    mentions of specific locations or businesses

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Cul" and its variations, indicating a focus on culinary-related content

    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
     Butterfly
    -0.83
     Twain
    -0.69
    */(
    -0.68
     Gutenberg
    -0.68
     Monsanto
    -0.67
    è¦ļéĨĴ
    -0.67
     Pathfinder
    -0.64
     Pirate
    -0.62
    ovych
    -0.62
     Bayer
    -0.62
    POSITIVE LOGITS
    inary
    1.02
    entric
    0.95
     Cul
    0.92
    iple
    0.92
    mination
    0.91
    seys
    0.85
    aware
    0.85
    isine
    0.81
    acci
    0.79
    son
    0.78
    Activations Density 0.009%

    No Known Activations