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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. 341
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    INDEX
    Explanations

    words related to implications or potential consequences of a situation

    oai_token-act-pair · gpt-3.5-turbo

    references to consequences or effects related to various topics

    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
    vez
    -0.74
    oned
    -0.73
    ced
    -0.70
    cop
    -0.70
    walk
    -0.68
    ves
    -0.68
    bows
    -0.67
    bones
    -0.67
    yards
    -0.67
    few
    -0.66
    POSITIVE LOGITS
     implications
    1.07
     ramifications
    0.89
    romeda
    0.82
     Impl
    0.80
     fallout
    0.79
    notation
    0.78
    uality
    0.77
    notations
    0.77
    urities
    0.76
    ogene
    0.76
    Activations Density 0.024%

    No Known Activations