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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. 1228
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    Explanations

    mentions of ingredients or food items

    oai_token-act-pair · gpt-3.5-turbo

    terms related to food and beverages

    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
    Network
    -0.82
    Privacy
    -0.78
    iannopoulos
    -0.78
    Task
    -0.77
    igsaw
    -0.77
    etheus
    -0.76
    igslist
    -0.76
    å°Ĩ
    -0.76
    yrinth
    -0.74
    roups
    -0.73
    POSITIVE LOGITS
    Ingredients
    1.32
     ingredients
    1.27
     herbal
    1.27
     herbs
    1.27
     spices
    1.26
     vinegar
    1.26
     coconut
    1.26
     citrus
    1.25
     powdered
    1.24
     flavours
    1.23
    Activations Density 0.482%

    No Known Activations