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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. 3-RES-JB
    6. 21467
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    Explanations

    words related to cost, finance, economics, and pricing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to low-cost options or conditions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nostic
    -0.72
    MAC
    -0.72
     Gleaming
    -0.70
    swer
    -0.69
    itect
    -0.66
    issors
    -0.66
    MAS
    -0.62
    itaire
    -0.62
     Garage
    -0.61
     Wenger
    -0.61
    POSITIVE LOGITS
    imester
    0.94
     (<
    0.82
    pees
    0.66
     pregnancies
    0.63
    priority
    0.62
    ota
    0.60
     percentages
    0.59
    Enlarge
    0.59
     incidence
    0.59
     thirds
    0.59
    Activations Density 0.399%

    No Known Activations