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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. 2642
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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
     Bulg
    -0.84
    £ı
    -0.77
     Ezek
    -0.75
     Seym
    -0.74
     Vald
    -0.73
     Azerb
    -0.73
    McC
    -0.72
    HCR
    -0.71
     Rasm
    -0.70
     Siber
    -0.70
    POSITIVE LOGITS
    verse
    0.77
    yard
    0.73
    bench
    0.69
    stre
    0.63
     unorthodox
    0.63
     paths
    0.63
    foot
    0.63
     troublesome
    0.62
     obstacle
    0.62
    room
    0.62
    Activations Density 0.000%

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