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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. 7-RES-JB
    6. 10788
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    INDEX
    Explanations

    instances of email-related words or terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the "e-" prefix in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AVG
    -0.73
     Cassidy
    -0.72
    Ô
    -0.71
    eele
    -0.70
    ulhu
    -0.66
     OPEC
    -0.64
    uania
    -0.63
     Zup
    -0.61
     Loll
    -0.61
     Witches
    -0.61
    POSITIVE LOGITS
    mail
    1.29
    mails
    1.28
    commerce
    1.26
    cigarette
    1.12
    expression
    1.04
    ventures
    1.00
    government
    0.98
    communication
    0.97
    collar
    0.97
    Commerce
    0.93
    Activations Density 0.025%

    No Known Activations