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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. 11-RES-JB
    11. 2302
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    INDEX
    Explanations

    mentions of specific crops, such as corn, soybeans, and wheat

    oai_token-act-pair · gpt-3.5-turbo

    information about genetically modified crops

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ghostbusters
    -0.92
    Privacy
    -0.89
    VPN
    -0.77
    gencies
    -0.76
    sburgh
    -0.75
    Blake
    -0.75
    Relations
    -0.73
    sonian
    -0.73
    Fun
    -0.70
     Telegram
    -0.69
    POSITIVE LOGITS
     crops
    1.71
     maize
    1.58
     soy
    1.57
     pasture
    1.48
     wheat
    1.47
     corn
    1.45
     crop
    1.44
     beans
    1.41
     livestock
    1.38
     rice
    1.37
    Activations Density 0.422%

    No Known Activations