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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. 4-RES-JB
    6. 5251
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    Explanations

    instances where something is described or categorized in a specific way

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe states of being or conditions

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

    No Comments

    Negative Logits
    abases
    -0.77
    CBC
    -0.71
    istries
    -0.71
     Toledo
    -0.68
     Carnival
    -0.67
    cycle
    -0.67
     Saskatchewan
    -0.66
    aukee
    -0.63
     Ribbon
    -0.62
     Lansing
    -0.62
    POSITIVE LOGITS
    yip
    0.66
    inventoryQuantity
    0.66
     precaution
    0.64
     influenced
    0.63
     progressed
    0.62
     progresses
    0.61
     aloud
    0.61
    acer
    0.61
     threatened
    0.60
     indicated
    0.60
    Activations Density 0.095%

    No Known Activations