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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

    ingredients and cooking instructions involving butter

    oai_token-act-pair · gpt-3.5-turbo

    mentions of butter and its various uses and implications in cooking and health

    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
    -0.86
    SPONSORED
    -0.81
     Exile
    -0.70
    OPLE
    -0.68
     Cheong
    -0.67
    ļé
    -0.64
    venants
    -0.64
    Solar
    -0.64
    Specific
    -0.63
     Citizen
    -0.63
    POSITIVE LOGITS
    cream
    1.28
    flies
    1.06
    cup
    0.99
    beer
    0.96
    nesday
    0.92
     butter
    0.90
    fing
    0.90
    maid
    0.89
    fat
    0.89
    netflix
    0.89
    Activations Density 0.007%

    No Known Activations