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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. 8-RES-JB
    6. 21318
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    INDEX
    Explanations

    proper nouns or specific identifiers in a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to naming or identifying people or things

    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
    ysc
    -0.73
    yrinth
    -0.67
     Antar
    -0.66
    yip
    -0.66
    isoft
    -0.66
    stead
    -0.65
    iasm
    -0.65
    cession
    -0.65
    awaru
    -0.63
    UTERS
    -0.63
    POSITIVE LOGITS
     names
    1.09
    paces
    1.03
    plates
    1.00
    names
    0.85
    essee
    0.78
     aliases
    0.78
     tags
    0.77
     landmarks
    0.76
    gger
    0.74
     personalities
    0.69
    Activations Density 0.056%

    No Known Activations