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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. 12837
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    INDEX
    Explanations
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    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
    ĸļ
    -0.99
     hail
    -0.88
    ulkan
    -0.74
     rover
    -0.71
     lull
    -0.70
     tongue
    -0.69
     appre
    -0.69
     jug
    -0.68
     fres
    -0.67
     mimic
    -0.67
    POSITIVE LOGITS
    aka
    0.93
    AFP
    0.90
    again
    0.88
    !)
    0.88
    usually
    0.87
    NAS
    0.86
    via
    0.85
    formerly
    0.84
    Beta
    0.83
    âĢ¦)
    0.83
    Activations Density 0.000%

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