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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. 13113
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    INDEX
    Explanations

    comparisons indicating superiority or quantity

    oai_token-act-pair · gpt-3.5-turbo

    comparative statements indicating greater quantities or frequencies

    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
    uto
    -0.75
    EMENT
    -0.68
    ongo
    -0.67
    ero
    -0.67
    ainment
    -0.66
    ISSION
    -0.66
    ilic
    -0.66
    YD
    -0.66
    eri
    -0.65
    ursive
    -0.64
    POSITIVE LOGITS
     usual
    0.90
    average
    0.74
     others
    0.71
     average
    0.70
     comparable
    0.68
    adelphia
    0.68
     bother
    0.67
     ever
    0.67
    mbuds
    0.65
    etheless
    0.65
    Activations Density 0.089%

    No Known Activations