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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. 10-RES-JB
    6. 20491
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    INDEX
    Explanations

    number and text patterns like protocols and settings

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and specific identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ande
    -0.80
    cott
    -0.72
    uran
    -0.70
     421
    -0.69
    antine
    -0.68
     Dane
    -0.68
     CAM
    -0.67
     Gott
    -0.67
    anian
    -0.66
     belt
    -0.66
    POSITIVE LOGITS
    0
    1.54
    º
    1.03
    070
    0.99
    020
    0.99
    040
    0.95
    024
    0.89
    047
    0.89
     0
    0.88
    048
    0.87
    060
    0.87
    Activations Density 0.185%

    No Known Activations