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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the term "Dakota" in a document

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Dakota" in various contexts, particularly related to the Dakota Access Pipeline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atics
    -0.86
    ROR
    -0.79
    istics
    -0.75
    atic
    -0.73
    imov
    -0.68
    ENA
    -0.68
    ################
    -0.68
    elong
    -0.67
    inventoryQuantity
    -0.67
    isations
    -0.67
    POSITIVE LOGITS
     Dakota
    1.07
     Sioux
    0.94
     Tribe
    0.81
    hyde
    0.79
     Rapids
    0.78
     Territory
    0.77
     Springs
    0.77
     State
    0.72
     Nickel
    0.72
     Missouri
    0.70
    Activations Density 0.008%

    No Known Activations