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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. 17607
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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
    urious
    -0.89
    eding
    -0.78
    ensibly
    -0.76
    aniel
    -0.75
    kered
    -0.75
    theless
    -0.72
    sis
    -0.71
    chel
    -0.71
    oner
    -0.71
    urally
    -0.70
    POSITIVE LOGITS
    Features
    0.75
     Languages
    0.71
    ¨
    0.68
     Travels
    0.68
    faces
    0.68
     Gors
    0.65
     Sloven
    0.64
     Celt
    0.63
    chairs
    0.62
    CLOSE
    0.62
    Activations Density 0.000%

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    This feature has no known activations.