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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. 3972
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    Explanations

    dates and names mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to dates and authors in a citation format

    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
     congr
    -0.70
     Creed
    -0.69
     vows
    -0.64
     Angle
    -0.64
     Dame
    -0.64
     Hail
    -0.63
    igans
    -0.63
    aceae
    -0.63
     refunds
    -0.63
     Ap
    -0.62
    POSITIVE LOGITS
    BBC
    1.48
    WASHINGTON
    1.07
    Associated
    1.03
    CBS
    0.98
    NEW
    0.93
    BER
    0.92
    remlin
    0.91
    PRESS
    0.90
    Reuters
    0.90
    CNN
    0.89
    Activations Density 0.059%

    No Known Activations