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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    various types of pasta dishes

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of pasta and related dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ft
    -0.77
     Hamp
    -0.74
    OWER
    -0.72
    phas
    -0.71
    76561
    -0.66
    @#&
    -0.65
    elong
    -0.64
     presidents
    -0.64
    Reviewer
    -0.63
    sburg
    -0.63
    POSITIVE LOGITS
     noodles
    1.22
     nood
    1.17
    arella
    1.05
     pasta
    0.99
     soup
    0.97
     spaghetti
    0.94
     Soup
    0.84
     seasoning
    0.83
    agna
    0.83
     sauce
    0.82
    Activations Density 0.011%

    No Known Activations