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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10079
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    INDEX
    Explanations

    names of specific entities or locations

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms related to food, substances, or popular culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.80
     compr
    -0.70
     guid
    -0.69
     coron
    -0.69
    irted
    -0.66
    ournal
    -0.64
    ebin
    -0.64
     magnification
    -0.64
    viously
    -0.64
    ammed
    -0.63
    POSITIVE LOGITS
     Bowl
    0.99
     Games
    0.98
     Shop
    0.97
     Strip
    0.91
     Club
    0.91
     Boys
    0.90
     Mile
    0.89
    haus
    0.88
    finger
    0.88
     Balls
    0.88
    Activations Density 0.203%

    No Known Activations