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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. 10510
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    INDEX
    Explanations

    mentions of rankings or positions, particularly those starting with "Top" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to ranking lists, specifically "Top X" lists related to various categories

    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
    ufact
    -0.81
     Gaul
    -0.66
     fir
    -0.66
    issance
    -0.66
    oresc
    -0.65
    BILITY
    -0.64
     Advent
    -0.63
    ¯¯
    -0.63
     heightened
    -0.63
     stead
    -0.62
    POSITIVE LOGITS
    eka
    1.12
    Top
    0.96
    ographical
    0.94
    ography
    0.92
    most
    0.85
    ology
    0.85
    Boss
    0.82
     Top
    0.82
    mast
    0.82
    ICS
    0.81
    Activations Density 0.023%

    No Known Activations