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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    pastas and noodles

    oai_token-act-pair · gpt-3.5-turbo

    references to pasta and noodle dishes

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

    No Comments

    Negative Logits
    sburg
    -0.91
    izons
    -0.84
     Hamp
    -0.79
    space
    -0.72
    elong
    -0.72
    OWER
    -0.69
    ACA
    -0.66
    phas
    -0.65
    ģĸ
    -0.65
    Reviewer
    -0.65
    POSITIVE LOGITS
     nood
    1.25
     noodles
    1.24
     soup
    1.07
     broth
    0.94
     pasta
    0.92
     Soup
    0.89
    cake
    0.84
     spaghetti
    0.84
     sauce
    0.83
    ovan
    0.82
    Activations Density 0.012%

    No Known Activations