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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. 6888
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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
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    -0.90
    wcsstore
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    Cra
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    KO
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    Bay
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    Beat
    -0.64
    terson
    -0.64
    Ê
    -0.64
    NES
    -0.62
    nets
    -0.62
    POSITIVE LOGITS
    ahime
    0.88
    ounced
    0.85
    mediately
    0.74
    ived
    0.73
    ktop
    0.71
     diagram
    0.70
     Administ
    0.69
     volunte
    0.69
    unci
    0.66
    ë
    0.65
    Activations Density 0.000%

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