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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. 18828
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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
    thood
    -0.73
    lees
    -0.72
    roxy
    -0.71
    leans
    -0.70
    anyahu
    -0.68
    ionics
    -0.67
     funer
    -0.67
     die
    -0.66
    quartered
    -0.66
    ITIES
    -0.65
    POSITIVE LOGITS
     Fields
    0.76
    ued
    0.71
     Rai
    0.68
     Lap
    0.64
     Lamp
    0.62
     Bloom
    0.62
     Chu
    0.62
     Mast
    0.61
     Grande
    0.61
     Takeru
    0.61
    Activations Density 0.000%

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