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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. 7-RES-JB
    6. 17355
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    Explanations

    statements related to editorials or opinion pieces

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "op-ed" and variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owship
    -0.81
    enance
    -0.73
    ashtra
    -0.63
     Roses
    -0.60
    beit
    -0.57
    cliffe
    -0.57
    UAL
    -0.57
    worthiness
    -0.56
     untold
    -0.56
     Dane
    -0.55
    POSITIVE LOGITS
    monary
    0.78
    sylvania
    0.78
    Doc
    0.75
    lisher
    0.75
    gres
    0.68
    reme
    0.67
    heid
    0.67
    ela
    0.66
    ansion
    0.65
    matic
    0.64
    Activations Density 0.071%

    No Known Activations