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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. 1-RES-JB
    11. 23190
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    orically
    -0.84
    '-
    -0.78
    '."
    -0.77
    ',"
    -0.75
     '.
    -0.70
    orical
    -0.69
    Latin
    -0.67
    ';
    -0.67
    =\"
    -0.65
    '.
    -0.65
    POSITIVE LOGITS
     Dayton
    0.78
     Ike
    0.75
     Ops
    0.74
    ktop
    0.69
     Barnes
    0.64
     Flo
    0.63
     Extras
    0.62
     Lin
    0.61
     Stam
    0.60
     Pharm
    0.60
    Activations Density 0.000%

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