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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. 1-RES-JB
    11. 5170
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lass
    -0.65
     Giul
    -0.63
    thumbnails
    -0.63
     Genie
    -0.62
     Shah
    -0.62
    ommel
    -0.59
    soDeliveryDate
    -0.58
     impression
    -0.58
     strut
    -0.58
     gen
    -0.57
    POSITIVE LOGITS
    ospons
    0.86
    etheless
    0.76
    iband
    0.74
    onite
    0.71
    EStreamFrame
    0.71
     Flavoring
    0.70
     Medals
    0.69
    ocom
    0.69
    ecycle
    0.69
    asca
    0.68
    Activations Density 0.000%

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