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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. 12404
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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
    amera
    -0.78
    atically
    -0.75
    taboola
    -0.75
    hement
    -0.73
    zeb
    -0.70
    parse
    -0.70
    rito
    -0.67
    Sharp
    -0.66
    acea
    -0.66
     differently
    -0.66
    POSITIVE LOGITS
     Estonia
    0.78
     Romania
    0.68
     Eston
    0.66
    election
    0.66
     Auschwitz
    0.66
     Fukushima
    0.65
    Ukraine
    0.65
    wake
    0.62
     Crimea
    0.61
    tten
    0.61
    Activations Density 0.000%

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