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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. 0-RES-JB
    11. 7986
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lamm
    -0.79
    uci
    -0.71
     Canaver
    -0.66
     Gleaming
    -0.65
    uments
    -0.65
    aryn
    -0.64
    daq
    -0.63
     shelves
    -0.63
    rology
    -0.63
    usalem
    -0.63
    POSITIVE LOGITS
    accompan
    0.77
    BIP
    0.75
     volunt
    0.71
    tar
    0.67
    Bound
    0.65
    Wing
    0.64
     FSA
    0.64
     proport
    0.64
     TG
    0.64
    Balt
    0.64
    Activations Density 0.000%

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