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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. 20850
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    Explanations

    the word "each" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "each" indicating quantities or distributions

    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
    holes
    -0.71
     Blaz
    -0.70
    stones
    -0.70
     Ruk
    -0.70
    ahime
    -0.68
    Bs
    -0.67
    abad
    -0.65
    hawks
    -0.64
    YN
    -0.63
     Roberts
    -0.63
    POSITIVE LOGITS
     thereafter
    0.86
     weekday
    0.86
    è¦ļéĨĴ
    0.75
    uana
    0.73
    */(
    0.72
     successive
    0.72
    uania
    0.72
    ioxide
    0.71
     paycheck
    0.70
    Ĥİ
    0.69
    Activations Density 0.029%

    No Known Activations