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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. 10-RES-JB
    6. 13153
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    INDEX
    Explanations

    mentions of official titles and positions

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistics related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.81
    halla
    -0.81
    poon
    -0.80
     surely
    -0.75
    ¥µ
    -0.72
    ãĤ´ãĥ³
    -0.69
     dyn
    -0.67
    yt
    -0.66
    omics
    -0.65
     nowhere
    -0.65
    POSITIVE LOGITS
    FILE
    1.58
    window
    1.13
     Photographer
    0.95
     Employees
    0.93
    People
    0.89
     Visitors
    0.87
     Protesters
    0.87
     Participants
    0.85
    Members
    0.85
     Customers
    0.83
    Activations Density 0.039%

    No Known Activations