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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. 11-RES-JB
    6. 16065
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    Explanations

    phrases related to groups or teams

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to groups of people or teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.73
    cape
    -0.73
    uations
    -0.71
    initions
    -0.70
    let
    -0.69
    phase
    -0.69
    uer
    -0.68
    runtime
    -0.67
    catentry
    -0.67
    tesy
    -0.67
    POSITIVE LOGITS
     explorers
    0.98
     adventurers
    0.95
     volunteers
    0.94
     advisors
    0.92
     advisers
    0.91
     strangers
    0.90
     scholars
    0.89
     thinkers
    0.89
     sorts
    0.88
     robbers
    0.86
    Activations Density 0.128%

    No Known Activations