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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. 0-RES-JB
    6. 7
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    INDEX
    Explanations

    references to the word "Char" followed by a digit

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific brand or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MW
    -0.87
     benchmark
    -0.70
    ively
    -0.70
    udo
    -0.67
     prem
    -0.67
    OIL
    -0.66
    uckland
    -0.65
    Bench
    -0.65
    wave
    -0.65
    peak
    -0.64
    POSITIVE LOGITS
     Char
    3.88
    Char
    2.79
    char
    1.66
     Charm
    1.62
     char
    1.61
     CHAR
    1.52
     Chau
    1.50
     Charity
    1.39
     Chr
    1.28
     Cha
    1.22
    Activations Density 0.011%

    No Known Activations