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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. 12529
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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
    ury
    -0.77
    20439
    -0.75
    hematically
    -0.74
    cale
    -0.72
    ackets
    -0.71
    APH
    -0.69
    unders
    -0.68
    thora
    -0.68
    ItemTracker
    -0.68
    ideshow
    -0.67
    POSITIVE LOGITS
     QC
    0.67
     Surviv
    0.65
     Vish
    0.64
    sters
    0.62
     Shia
    0.61
     Destroy
    0.60
     TER
    0.60
    IPS
    0.59
     Bris
    0.59
     Sark
    0.59
    Activations Density 0.000%

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