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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. 0-RES-JB
    6. 3786
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    Explanations

    print-related words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to printed materials or print media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     basin
    -0.66
     oxy
    -0.65
    itability
    -0.64
    æĢ
    -0.63
     domin
    -0.62
    icably
    -0.62
    kh
    -0.62
     stranger
    -0.60
    ãĥ¤
    -0.60
     nowhere
    -0.59
    POSITIVE LOGITS
     Print
    3.99
    Print
    3.15
     print
    2.40
     prints
    2.21
    print
    2.21
     Printing
    2.12
     Printed
    1.92
    prints
    1.85
     printing
    1.81
    printed
    1.69
    Activations Density 0.012%

    No Known Activations