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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. 15481
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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
    estones
    -0.81
    itialized
    -0.73
    acons
    -0.72
    Äĩ
    -0.71
     analys
    -0.70
    verages
    -0.70
     gears
    -0.66
    yrinth
    -0.66
     drift
    -0.65
     arrow
    -0.65
    POSITIVE LOGITS
    ×ij
    0.83
    Y
    0.76
    Pic
    0.75
    Gi
    0.74
    ARK
    0.71
    JR
    0.68
    400
    0.68
    ×ŀ
    0.68
    800
    0.67
    IP
    0.66
    Activations Density 0.000%

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