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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. 10-RES-JB
    11. 2747
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    Explanations

    terms related to food preparation and cooking techniques

    oai_token-act-pair · gpt-3.5-turbo

    processes and steps related to cooking and food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.96
    Privacy
    -0.87
     Droid
    -0.85
    Pokemon
    -0.84
    ¥µ
    -0.81
     Civic
    -0.77
     Homeless
    -0.75
    oneliness
    -0.75
     NEO
    -0.73
    Pokémon
    -0.73
    POSITIVE LOGITS
     solvent
    1.43
     fermentation
    1.41
     extraction
    1.41
     enzymes
    1.36
     curing
    1.29
     powd
    1.29
     oxid
    1.29
     enz
    1.28
     oxidation
    1.28
     drying
    1.26
    Activations Density 0.646%

    No Known Activations