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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. 7-RES-JB
    11. 22905
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    INDEX
    Explanations

    measurements including specific values with decimals

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or measurements

    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
    elia
    -0.64
    pty
    -0.61
     Humph
    -0.58
     Heist
    -0.58
    swick
    -0.58
    idence
    -0.57
     Osw
    -0.56
    strings
    -0.55
    ĸļ
    -0.54
    icol
    -0.54
    POSITIVE LOGITS
    Thirty
    0.91
     lakh
    0.83
    GHz
    0.81
    0000
    0.80
     million
    0.79
    inch
    0.78
     crore
    0.78
    ths
    0.78
    mL
    0.77
    âĢ³
    0.77
    Activations Density 0.038%

    No Known Activations