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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. 9-RES-JB
    6. 10999
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    INDEX
    Explanations

    common phrases that start with "Each"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "Each."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tops
    -0.76
    abs
    -0.74
    haven
    -0.72
    bows
    -0.71
    rovers
    -0.71
    models
    -0.69
    stones
    -0.68
    Chain
    -0.68
    children
    -0.67
    duc
    -0.67
    POSITIVE LOGITS
     successive
    1.16
     iteration
    1.02
     participant
    0.97
     person
    0.93
     individual
    0.92
     piece
    0.91
    tains
    0.89
     element
    0.88
     member
    0.87
     month
    0.87
    Activations Density 0.042%

    No Known Activations