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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23288
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    INDEX
    Explanations

    words related to farming activities and agricultural practices

    oai_token-act-pair · gpt-3.5-turbo

    topics related to agriculture and environmental impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boxing
    -0.93
    FBI
    -0.88
    umbledore
    -0.87
    ipolar
    -0.83
     Comey
    -0.82
    VPN
    -0.81
     Ghostbusters
    -0.81
    CIA
    -0.79
     Deadpool
    -0.79
     Rosenstein
    -0.79
    POSITIVE LOGITS
     livestock
    1.36
     farms
    1.30
     grazing
    1.29
     pasture
    1.25
     irrig
    1.23
     soils
    1.23
     irrigation
    1.22
     herds
    1.22
     crops
    1.19
     vegetation
    1.19
    Activations Density 1.241%

    No Known Activations