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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. 8-RES-JB
    6. 15279
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    Explanations

    phrases that list categories or options

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the classification or categorization of concepts and reasons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ergy
    -0.74
    Beast
    -0.72
    Ire
    -0.71
    bats
    -0.71
     Andromeda
    -0.68
    uddin
    -0.66
    ebook
    -0.64
    Downloadha
    -0.62
    istant
    -0.62
    lator
    -0.59
    POSITIVE LOGITS
     viz
    1.08
    %:
    1.02
    :-
    1.00
    ):
    0.85
     simultaneously
    0.85
     namely
    0.83
    :
    0.82
    :(
    0.80
    :#
    0.78
    :"
    0.75
    Activations Density 0.132%

    No Known Activations