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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. 6-RES-JB
    11. 7159
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    Explanations

    references to cooking sauces

    oai_token-act-pair · gpt-3.5-turbo

    references to sauce in various culinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Visitors
    -0.73
     Accounting
    -0.69
    vernment
    -0.68
     Article
    -0.66
     Timber
    -0.66
     Accountability
    -0.65
    gone
    -0.65
    ennial
    -0.65
     Armory
    -0.65
     CARE
    -0.64
    POSITIVE LOGITS
     sauces
    1.17
     sauce
    1.11
    pan
    0.88
     conco
    0.85
     seasoning
    0.84
     mustard
    0.83
     soup
    0.83
    ming
    0.82
     flavored
    0.81
     simmer
    0.80
    Activations Density 0.028%

    No Known Activations