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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. 3-RES-JB
    6. 19428
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    Explanations

    words related to pesticides

    oai_token-act-pair · gpt-3.5-turbo

    references to pesticides and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aldo
    -0.83
     Apostles
    -0.76
    hani
    -0.75
    neys
    -0.73
     Foley
    -0.71
    eye
    -0.67
    ctica
    -0.67
     Apostle
    -0.67
    AUD
    -0.66
     Messi
    -0.66
    POSITIVE LOGITS
     pesticides
    1.18
     pesticide
    1.16
     chemicals
    1.00
    icides
    0.94
    icide
    0.92
     spraying
    0.91
     poisoning
    0.89
     glyphosate
    0.88
     dioxide
    0.87
    ascus
    0.85
    Activations Density 0.016%

    No Known Activations