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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. 20448
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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
     laughter
    -0.65
     Guinness
    -0.64
     diarrhea
    -0.63
     rapport
    -0.62
     Patron
    -0.61
    grad
    -0.60
     trout
    -0.59
     mete
    -0.58
    anas
    -0.58
     starters
    -0.58
    POSITIVE LOGITS
     rightfully
    0.84
    thora
    0.79
    ufact
    0.75
    atinum
    0.72
     Modes
    0.72
    MN
    0.71
     compr
    0.68
    itia
    0.68
    atural
    0.68
    ilitary
    0.67
    Activations Density 0.000%

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