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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. 7-RES-JB
    11. 13447
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    Explanations

    phrases related to agriculture and harvest

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of harvesting

    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
    eq
    -0.71
    uyomi
    -0.71
    deen
    -0.67
    este
    -0.67
     lawy
    -0.66
    BuyableInstoreAndOnline
    -0.66
    iazep
    -0.64
    isf
    -0.64
    xus
    -0.62
     sworn
    -0.62
    POSITIVE LOGITS
     harvest
    1.15
     crops
    1.01
     vines
    0.99
     tomatoes
    0.89
     grapes
    0.85
     Harvest
    0.85
     fruits
    0.85
     berries
    0.84
     fruit
    0.84
     harvested
    0.84
    Activations Density 0.045%

    No Known Activations