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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. 23324
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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
    VG
    -0.73
     smelled
    -0.69
     loaf
    -0.68
     corrid
    -0.68
    ELF
    -0.66
     gaze
    -0.63
     Burger
    -0.63
     BELOW
    -0.60
     Loud
    -0.60
     AMERICA
    -0.59
    POSITIVE LOGITS
    leans
    0.88
     Monument
    0.73
    tions
    0.72
    engu
    0.68
    rium
    0.68
    tion
    0.68
    icably
    0.66
    hedon
    0.65
    atched
    0.65
    abs
    0.65
    Activations Density 0.000%

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