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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 22227
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    INDEX
    Explanations
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    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
    aldi
    -0.85
    isine
    -0.79
    ulation
    -0.78
    oday
    -0.75
    itement
    -0.75
    odox
    -0.73
    auld
    -0.73
    clusions
    -0.70
    sheet
    -0.69
    ensus
    -0.69
    POSITIVE LOGITS
    ãĤ´ãĥ³
    0.70
     distributor
    0.65
    âĶĢâĶĢâĶĢâĶĢ
    0.65
     apostles
    0.64
     knight
    0.62
     rehab
    0.60
     monastery
    0.60
     dedicate
    0.59
    ciples
    0.58
    aughters
    0.57
    Activations Density 0.000%

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