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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. 2-RES-JB
    11. 23770
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    xit
    -0.66
     Revel
    -0.66
     Bosh
    -0.63
     Cheong
    -0.61
    urized
    -0.61
    olphins
    -0.59
     Compton
    -0.58
     Wiz
    -0.57
     subsequ
    -0.57
     Brus
    -0.56
    POSITIVE LOGITS
    lé
    0.76
    âĹı
    0.67
    leading
    0.64
    union
    0.62
    written
    0.62
    posing
    0.61
    stant
    0.60
    usk
    0.60
    writing
    0.59
     anonymously
    0.58
    Activations Density 0.000%

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