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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. 10184
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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
    ician
    -0.84
    arian
    -0.71
    arians
    -0.68
    atton
    -0.66
    iever
    -0.64
    wyn
    -0.64
    iversity
    -0.62
    owicz
    -0.62
    bum
    -0.62
     Ivanka
    -0.62
    POSITIVE LOGITS
     Puzzles
    0.74
    lihood
    0.70
     Mysteries
    0.67
     illusions
    0.66
     resemb
    0.65
     à¨
    0.65
     Jinn
    0.65
     explan
    0.63
     Totem
    0.62
     elig
    0.62
    Activations Density 0.000%

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