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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. 5700
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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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    icio
    -0.72
    icy
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    PDATE
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    eele
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     Pwr
    -0.70
     <<
    -0.69
    anco
    -0.68
    EStreamFrame
    -0.67
     Paste
    -0.67
    POSITIVE LOGITS
    bia
    0.74
    mith
    0.70
     nodd
    0.68
    phant
    0.65
     Ahead
    0.58
     Alma
    0.58
     Blooming
    0.58
    ngth
    0.58
    alls
    0.57
    alogue
    0.57
    Activations Density 0.000%

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