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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. 11493
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    Explanations

    animals or animal-related terms, especially focusing on cattle

    oai_token-act-pair · gpt-3.5-turbo

    references to livestock, particularly cattle

    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
     Persona
    -0.72
    YP
    -0.71
     Portal
    -0.70
     Kon
    -0.70
    rar
    -0.65
    Theme
    -0.64
     Ori
    -0.63
    web
    -0.63
    oru
    -0.62
    Universal
    -0.62
    POSITIVE LOGITS
     cattle
    3.62
     livestock
    2.73
     cows
    2.38
     herds
    1.94
     poultry
    1.75
     sheep
    1.72
     goats
    1.67
     grazing
    1.65
     cow
    1.59
     calves
    1.58
    Activations Density 0.013%

    No Known Activations