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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. 5-RES-JB
    6. 10970
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    INDEX
    Explanations

    keywords related to numerical data such as percentages and measurements

    oai_token-act-pair · gpt-3.5-turbo

    currency values represented in cents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.85
    ultan
    -0.77
    icio
    -0.77
    urned
    -0.75
    accompanied
    -0.74
    population
    -0.71
    ographically
    -0.71
    ependence
    -0.70
    essa
    -0.70
    strate
    -0.69
    POSITIVE LOGITS
    ¹
    0.77
    ¢
    0.75
    ï¸
    0.75
    ï¸ı
    0.75
    TION
    0.74
    ³
    0.73
    ·
    0.72
    ternity
    0.69
    ATH
    0.69
     GST
    0.68
    Activations Density 0.015%

    No Known Activations