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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. 19197
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    Explanations

    words related to legal and law enforcement activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant events or incidents

    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
     liner
    -0.85
     additionally
    -0.83
     tasting
    -0.82
     retard
    -0.81
     furthermore
    -0.81
     Tsukuyomi
    -0.81
     crumble
    -0.80
     moreover
    -0.80
     eleph
    -0.80
     correlated
    -0.80
    POSITIVE LOGITS
    Former
    1.67
    Two
    1.64
    Thousands
    1.63
    Three
    1.62
    Published
    1.61
    Hundreds
    1.61
    An
    1.59
    Updated
    1.59
    Four
    1.57
    Scientists
    1.56
    Activations Density 0.150%

    No Known Activations