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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. 11-RES-JB
    6. 15804
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    Explanations

    phrases related to performing actions repeatedly or in sequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sequential actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erville
    -0.68
    THING
    -0.66
    Sport
    -0.65
    ura
    -0.62
    WI
    -0.61
    ubb
    -0.59
    ª
    -0.59
    ļ
    -0.58
    ergy
    -0.57
     Shame
    -0.56
    POSITIVE LOGITS
     consecut
    1.15
     depending
    1.05
     spaced
    1.03
     horizontally
    1.00
     across
    0.96
     eliminating
    0.93
     concurrently
    0.90
     throughout
    0.90
     simultaneously
    0.89
     alternating
    0.88
    Activations Density 0.327%

    No Known Activations