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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. 1-RES-JB
    6. 14735
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    atched
    -0.78
    ERY
    -0.78
     Eps
    -0.67
    heast
    -0.67
    Æ
    -0.66
    ËĪ
    -0.66
    Ãĥ
    -0.66
    apons
    -0.66
    raised
    -0.65
    REAM
    -0.65
    POSITIVE LOGITS
    linger
    0.77
     Raider
    0.66
     spare
    0.65
     Unicorn
    0.63
    erity
    0.60
     Thief
    0.60
    vre
    0.59
     Rebels
    0.57
     Shiite
    0.57
     Blazing
    0.57
    Activations Density 0.000%

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