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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. 3152
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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
    vez
    -0.77
    uality
    -0.74
    女
    -0.73
    egu
    -0.73
    orned
    -0.69
     =================================
    -0.68
    itary
    -0.67
     Latvia
    -0.65
     psychiatry
    -0.63
    ipolar
    -0.63
    POSITIVE LOGITS
    hesda
    0.66
    wagen
    0.64
     eaves
    0.63
    EngineDebug
    0.62
    ixel
    0.61
    esi
    0.60
    Hunt
    0.59
     thereto
    0.59
    orf
    0.58
     angle
    0.57
    Activations Density 0.000%

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