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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. 3-RES-JB
    6. 1034
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    istical
    -0.74
     blackmail
    -0.72
     postage
    -0.69
     gamble
    -0.68
     birthday
    -0.67
     classification
    -0.64
    earch
    -0.64
     capit
    -0.62
     boycott
    -0.62
     predicament
    -0.62
    POSITIVE LOGITS
    ij士
    0.72
     Camer
    0.71
     Grounds
    0.70
    ocumented
    0.67
    namese
    0.67
    lda
    0.66
    è¦ļéĨĴ
    0.65
    Loading
    0.65
     Marsh
    0.65
    tta
    0.65
    Activations Density 0.000%

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