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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. 0-RES-JB
    11. 20347
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    Explanations

    words related to beverages, especially those related to drinking water and other liquids

    oai_token-act-pair · gpt-3.5-turbo

    references to beverages, particularly drinks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kinnikuman
    -0.76
    thumbnails
    -0.76
     CPC
    -0.76
    termination
    -0.71
     Mesh
    -0.67
    meier
    -0.66
    ä¿
    -0.66
    tracking
    -0.64
     Squadron
    -0.63
    pole
    -0.63
    POSITIVE LOGITS
     drink
    3.79
     drinks
    2.82
     Drink
    2.62
     beverage
    2.33
     drank
    2.32
     drinking
    2.24
     drinkers
    2.02
     beverages
    1.98
     Drinking
    1.95
     booze
    1.85
    Activations Density 0.014%

    No Known Activations