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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. 1-RES-JB
    11. 4853
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    Explanations

    phrases related to cooking

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emale
    -0.78
    orp
    -0.70
    idas
    -0.68
    oral
    -0.66
    upon
    -0.65
    vu
    -0.65
    eson
    -0.64
     Mayweather
    -0.63
     Cly
    -0.63
    kHz
    -0.61
    POSITIVE LOGITS
     cooking
    1.09
     cook
    1.07
     stove
    1.02
     oven
    1.01
     cooked
    0.99
    cook
    0.98
     cooks
    0.98
     fry
    0.97
     cooker
    0.95
     frying
    0.92
    Activations Density 0.010%

    No Known Activations