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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. 1992
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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
    pir
    -0.85
    anto
    -0.73
    atu
    -0.70
     Panc
    -0.69
    hem
    -0.69
    heim
    -0.68
    gha
    -0.67
    het
    -0.66
    ios
    -0.66
    uses
    -0.66
    POSITIVE LOGITS
     banging
    0.68
     ordering
    0.68
    quartered
    0.66
    retty
    0.66
     barking
    0.64
     collisions
    0.62
     procedural
    0.62
    galitarian
    0.62
     ORDER
    0.61
     metadata
    0.61
    Activations Density 0.000%

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