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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. 5509
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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
     stalk
    -0.67
    velength
    -0.66
    ibrary
    -0.65
    ropy
    -0.64
    cube
    -0.64
    hemy
    -0.63
    ijn
    -0.63
    onal
    -0.63
    ãĤ½
    -0.63
    iem
    -0.62
    POSITIVE LOGITS
     Engineers
    0.70
     Saud
    0.69
    laugh
    0.65
     flush
    0.62
     WARN
    0.62
     Landing
    0.62
    Engineers
    0.61
     SUR
    0.61
     Khan
    0.60
    thumbnails
    0.60
    Activations Density 0.000%

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