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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. 10664
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    Explanations

    numeric quantities related to count or volume

    oai_token-act-pair · gpt-3.5-turbo

    mentions of items, concepts, or entities that are included in a discussion or report

    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
     Sabha
    -0.77
    ickr
    -0.65
    INESS
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    ?]
    -0.64
     Baird
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    VM
    -0.63
     ASA
    -0.62
    imeo
    -0.61
    assetsadobe
    -0.61
    Sport
    -0.59
    POSITIVE LOGITS
    ographic
    0.74
     prominently
    0.72
     spoilers
    0.70
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    0.69
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     elements
    0.68
     tantal
    0.66
    ographical
    0.66
    otyp
    0.63
     signature
    0.62
    Activations Density 0.516%

    No Known Activations