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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. 2-RES-JB
    11. 6483
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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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    papers
    -0.93
    boys
    -0.83
    DragonMagazine
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     colours
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    colour
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    rams
    -0.71
    oras
    -0.71
    VB
    -0.70
    illusion
    -0.70
    raised
    -0.69
    POSITIVE LOGITS
     FML
    0.76
     Barnett
    0.74
    mble
    0.71
     HOU
    0.68
     UNC
    0.67
     SAY
    0.67
     Fargo
    0.65
     Carb
    0.65
     Kinn
    0.65
     Kasich
    0.64
    Activations Density 0.000%

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