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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of different types of sauces

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sauce

    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
     Visitors
    -0.72
     Citizens
    -0.70
     WATCHED
    -0.70
     Timber
    -0.69
     Polaris
    -0.69
    ALE
    -0.68
    gone
    -0.66
     Article
    -0.66
     Tall
    -0.65
     Guardians
    -0.64
    POSITIVE LOGITS
     sauce
    1.37
     sauces
    1.34
     seasoning
    1.08
     Sauce
    1.07
     popcorn
    0.99
     tasted
    0.93
     cuisine
    0.89
    washer
    0.89
     soup
    0.88
     gravy
    0.87
    Activations Density 0.008%

    No Known Activations