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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. 5-RES-JB
    6. 23606
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    INDEX
    Explanations

    references to internet memes

    oai_token-act-pair · gpt-3.5-turbo

    references to memes and meme culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     charism
    -0.68
    hani
    -0.66
     Dull
    -0.65
    enting
    -0.64
     trave
    -0.63
     glim
    -0.63
     appointments
    -0.63
     Yards
    -0.62
    rament
    -0.61
     Thro
    -0.61
    POSITIVE LOGITS
     memes
    1.04
     meme
    1.02
    pty
    0.82
    ery
    0.80
    oji
    0.78
    bers
    0.78
    stress
    0.72
    etically
    0.72
    iverse
    0.71
     poster
    0.70
    Activations Density 0.016%

    No Known Activations