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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. 3-RES-JB
    11. 4059
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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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    oyer
    -0.82
     Ashton
    -0.73
     Anniversary
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    -0.72
     Rasm
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     Fiorina
    -0.71
     Shepard
    -0.70
    inton
    -0.70
    ustain
    -0.69
    edar
    -0.67
    POSITIVE LOGITS
    EStreamFrame
    0.92
    20439
    0.73
     substr
    0.72
    Kn
    0.70
    bleacher
    0.69
     bol
    0.67
     revolver
    0.63
     mills
    0.61
     morphine
    0.61
    ãĤ®
    0.61
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