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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. 2-RES-JB
    6. 17743
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    \<
    -0.71
    MH
    -0.70
     GOODMAN
    -0.68
    ELY
    -0.68
    KEN
    -0.67
     Yog
    -0.64
    :(
    -0.63
    WER
    -0.62
    Nar
    -0.62
    AIR
    -0.61
    POSITIVE LOGITS
    ugu
    0.85
    acion
    0.73
    opped
    0.72
    ussia
    0.68
    doms
    0.66
     extraord
    0.66
    ierrez
    0.65
    conservancy
    0.64
     amnesty
    0.64
    icago
    0.62
    Activations Density 0.000%

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