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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. 2-RES-JB
    6. 8834
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     spatial
    -0.68
    unal
    -0.65
     procedural
    -0.65
    interstitial
    -0.64
    inence
    -0.64
     isolate
    -0.60
     isolation
    -0.59
     theorist
    -0.59
     nominal
    -0.58
     gram
    -0.58
    POSITIVE LOGITS
    ĨĴ
    0.88
    é¾įåĸļ士
    0.83
     CrossRef
    0.82
    RAFT
    0.79
    CLASSIFIED
    0.78
    \\\\\\\\\\\\\\\\
    0.73
    é¾
    0.72
    INESS
    0.72
    EStream
    0.68
    ogy
    0.67
    Activations Density 0.000%

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