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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. 10311
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    INDEX
    Explanations

    letter sequences that are specific to a particular encoding format

    oai_token-act-pair · gpt-3.5-turbo

    references to significant literary works and their connections or representations

    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
     wont
    -0.87
     tremend
    -0.83
    ettings
    -0.77
     neigh
    -0.75
     fuzz
    -0.70
    chool
    -0.69
    chini
    -0.69
    ansky
    -0.68
    ecided
    -0.67
     ende
    -0.67
    POSITIVE LOGITS
    Trivia
    0.88
    Appearances
    0.80
    Notable
    0.79
    Quotes
    0.77
    Gallery
    0.76
    References
    0.73
     Alternatively
    0.72
    Contents
    0.71
    See
    0.69
    History
    0.68
    Activations Density 0.209%

    No Known Activations