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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. 1-RES-JB
    6. 15854
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    INDEX
    Explanations

    mentions of events or situations on a national scale

    oai_token-act-pair · gpt-3.5-turbo

    references to national-level contexts or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holes
    -0.83
    nce
    -0.71
     hints
    -0.70
    ppings
    -0.68
    cess
    -0.68
     Cay
    -0.67
     Mast
    -0.67
     trolls
    -0.66
     Fro
    -0.65
    actic
    -0.64
    POSITIVE LOGITS
    ographically
    1.09
     nationally
    0.93
    ividually
    0.87
    keye
    0.86
    oppable
    0.85
    iversal
    0.82
    acia
    0.81
    odynam
    0.80
    ECA
    0.79
    é¾įå¥ij士
    0.78
    Activations Density 0.004%

    No Known Activations