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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. 11769
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    INDEX
    Explanations

    email related phrases and notifications, specifically mentioning news and promotions

    oai_token-act-pair · gpt-3.5-turbo

    references to news-related content and updates

    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
    ovember
    -0.62
    appa
    -0.61
    wagen
    -0.57
     neigh
    -0.53
     Logged
    -0.52
     Devils
    -0.51
    etts
    -0.51
     denomin
    -0.50
     Peg
    -0.50
     wors
    -0.50
    POSITIVE LOGITS
    month
    0.64
    bytes
    0.62
    breaking
    0.59
     content
    0.58
    grain
    0.56
    Trend
    0.56
    email
    0.55
    relevant
    0.54
    codes
    0.54
     Kavanaugh
    0.53
    Activations Density 0.014%

    No Known Activations