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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. 16
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    INDEX
    Explanations

    contractions that include the word "won't"

    oai_token-act-pair · gpt-3.5-turbo

    negation phrases emphasizing inability or lack of something

    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
    OTOS
    -0.72
    illin
    -0.68
    bian
    -0.66
    eki
    -0.66
    gypt
    -0.61
     cultivating
    -0.61
    mens
    -0.58
    enegger
    -0.58
     embodiments
    -0.58
    MEN
    -0.58
    POSITIVE LOGITS
    't
    1.23
    itive
    0.91
    now
    0.83
    stall
    0.82
    geon
    0.78
    Dispatch
    0.74
    ims
    0.73
    rar
    0.72
    æ©
    0.72
    geons
    0.71
    Activations Density 0.031%

    No Known Activations