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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. 0-RES-JB
    11. 13266
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     medic
    -0.68
     respir
    -0.66
    PM
    -0.64
     pronounced
    -0.63
    atures
    -0.63
     intu
    -0.61
    rophic
    -0.60
    SPONSORED
    -0.59
     erg
    -0.59
    hig
    -0.59
    POSITIVE LOGITS
    ollywood
    0.81
    ANN
    0.77
    BLE
    0.75
    awk
    0.75
    VEN
    0.75
    awks
    0.74
    SHIP
    0.72
    awar
    0.72
    isSpecialOrderable
    0.72
    fleet
    0.69
    Activations Density 0.000%

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