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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. 7-RES-JB
    6. 4328
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    INDEX
    Explanations

    names of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups involved in political or significant organizational activities

    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
     tremend
    -0.62
     appe
    -0.58
     gobl
    -0.57
     retribution
    -0.56
    CHR
    -0.56
     outwe
    -0.56
    schild
    -0.55
     spont
    -0.54
    heimer
    -0.54
     toget
    -0.53
    POSITIVE LOGITS
    auld
    0.78
    igham
    0.76
    */(
    0.69
    taboola
    0.68
    itaire
    0.67
    ierre
    0.64
     Sud
    0.64
     Soup
    0.63
    ibus
    0.59
    agall
    0.58
    Activations Density 1.049%

    No Known Activations