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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. 8-RES-JB
    6. 5915
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    Explanations

    phrases related to editorial content or opinions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to editorial content in publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llan
    -0.74
    aday
    -0.72
    pots
    -0.71
    omething
    -0.71
    agne
    -0.70
    cles
    -0.69
    rises
    -0.68
    ptives
    -0.67
    ulia
    -0.67
    imilar
    -0.66
    POSITIVE LOGITS
     editor
    1.00
    ized
    1.00
    izing
    0.99
     editorial
    0.99
     Editorial
    0.94
     board
    0.93
    IZE
    0.93
     cartoons
    0.91
    izes
    0.88
    zeb
    0.86
    Activations Density 0.030%

    No Known Activations