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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. 3-RES-JB
    11. 23953
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    avorite
    -0.96
    rament
    -0.81
    ioxide
    -0.76
    opol
    -0.75
    nia
    -0.74
    wig
    -0.74
    rers
    -0.73
     Lauder
    -0.72
    ascus
    -0.70
    ennes
    -0.70
    POSITIVE LOGITS
    FILE
    0.75
     HIP
    0.74
    Statement
    0.74
    CDC
    0.68
     Qué
    0.67
    Trigger
    0.66
    RIP
    0.66
    Fact
    0.64
    CU
    0.64
    Private
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.