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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. 16976
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    Explanations

    references related to a retro theme or style

    oai_token-act-pair · gpt-3.5-turbo

    references to nostalgic or retro themes

    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
    gow
    -0.80
    \\\\\\\\
    -0.77
    Volume
    -0.75
    Translation
    -0.74
    RAW
    -0.73
     Secrets
    -0.70
    Export
    -0.69
    FUL
    -0.68
     Parenthood
    -0.68
     Vald
    -0.67
    POSITIVE LOGITS
     retro
    1.33
    actively
    1.31
    fitted
    1.04
    spective
    1.00
    gradation
    0.99
    active
    0.99
    fitting
    0.87
    spection
    0.85
    etheless
    0.85
    grade
    0.85
    Activations Density 0.007%

    No Known Activations