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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. 17474
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    INDEX
    Explanations
    No Explanations Found
    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
    atable
    -0.85
     Norn
    -0.69
    fork
    -0.69
     TBD
    -0.69
    Tam
    -0.69
    Broad
    -0.65
    moderate
    -0.65
     Nun
    -0.64
     Bethesda
    -0.64
    onom
    -0.64
    POSITIVE LOGITS
     ..........
    0.75
    SHIP
    0.72
    ertodd
    0.70
    ×ŀ
    0.69
     {\
    0.68
     lett
    0.67
    uries
    0.67
    ]}
    0.67
     VIDEOS
    0.67
    =-=-
    0.66
    Activations Density 0.000%

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