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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. 0-RES-JB
    6. 17228
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    */(
    -0.88
     Flavoring
    -0.85
    tails
    -0.77
     guiActiveUnfocused
    -0.71
     Editorial
    -0.65
    ASON
    -0.65
    PLA
    -0.65
    boards
    -0.64
     ãĤµ
    -0.63
    Boss
    -0.63
    POSITIVE LOGITS
     child
    1.03
     age
    1.03
     ages
    1.02
    child
    0.81
     Child
    0.74
    >>\
    0.72
    abase
    0.71
    rape
    0.70
     Carnegie
    0.65
     euth
    0.65
    Activations Density 0.000%

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