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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. 4-RES-JB
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    Explanations

    mentions of various types of sauces

    oai_token-act-pair · gpt-3.5-turbo

    references to sauces in cooking

    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
    vernment
    -0.72
     Accounting
    -0.67
     Visitors
    -0.67
     WATCHED
    -0.67
     Article
    -0.64
     Camer
    -0.63
     Fore
    -0.63
    gotten
    -0.63
     Accountability
    -0.63
    gone
    -0.62
    POSITIVE LOGITS
     sauces
    1.18
     sauce
    1.14
     seasoning
    0.91
     Sauce
    0.87
     flav
    0.84
     conco
    0.82
     mustard
    0.81
     simmer
    0.81
     caramel
    0.81
     tasting
    0.80
    Activations Density 0.010%

    No Known Activations