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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. 6-RES-JB
    11. 5644
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    Explanations

    references to agriculture, specifically focusing on corn

    oai_token-act-pair · gpt-3.5-turbo

    references to corn and its derivatives in agricultural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deen
    -0.79
    lihood
    -0.77
     Cheong
    -0.73
    llers
    -0.73
    Known
    -0.72
     reperto
    -0.71
     Lumpur
    -0.71
    é¾įåĸļ士
    -0.69
    ENA
    -0.69
    irlf
    -0.68
    POSITIVE LOGITS
    meal
    1.13
    grain
    1.03
     syrup
    0.92
    fed
    0.90
    bread
    0.89
     starch
    0.89
     corn
    0.88
     ethanol
    0.88
    oxin
    0.88
     kernels
    0.87
    Activations Density 0.020%

    No Known Activations