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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. 4-RES-JB
    11. 1797
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     MAT
    -0.73
     DAM
    -0.68
     LW
    -0.64
     repe
    -0.63
     TOD
    -0.61
     imposition
    -0.61
     ONLY
    -0.60
     FL
    -0.59
     FAR
    -0.59
     ARM
    -0.59
    POSITIVE LOGITS
    obbies
    0.82
    hiba
    0.80
    ulhu
    0.79
    ionage
    0.75
    ouf
    0.74
    aea
    0.73
    racuse
    0.73
    bach
    0.70
    agin
    0.70
    tch
    0.70
    Activations Density 0.000%

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