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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. 17137
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    INDEX
    Explanations

    invitations or prompts for engagement

    oai_token-act-pair · gpt-3.5-turbo

    calls to action and requests for engagement

    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
    isp
    -0.63
     glyph
    -0.63
    meta
    -0.61
    adra
    -0.61
     footh
    -0.60
     CTR
    -0.60
    £ı
    -0.59
    eco
    -0.59
    native
    -0.59
    spir
    -0.59
    POSITIVE LOGITS
    ?????-?????-
    0.90
    Answer
    0.84
     Nope
    0.77
    .?
    0.76
    --------------------------------------------------------
    0.72
     Answer
    0.71
     Virgin
    0.69
    ?????-
    0.69
     kidding
    0.69
    emate
    0.68
    Activations Density 0.238%

    No Known Activations