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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. 16838
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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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    Negative Logits
    wcsstore
    -0.81
     Legislation
    -0.76
    utra
    -0.74
    achus
    -0.72
    imaru
    -0.70
    £ı
    -0.70
     Publication
    -0.68
     Measures
    -0.68
    Foot
    -0.68
    Cry
    -0.66
    POSITIVE LOGITS
    ero
    0.71
     reluct
    0.70
     manned
    0.68
    shift
    0.68
     Paulo
    0.67
    jit
    0.65
     Mayer
    0.64
    istics
    0.64
    resp
    0.63
     fuelled
    0.63
    Activations Density 0.000%

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