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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. 4375
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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
     FAT
    -0.70
    ofi
    -0.69
     INF
    -0.67
     Dull
    -0.66
    AMI
    -0.64
     Mub
    -0.64
     Tanz
    -0.64
     ANG
    -0.64
     welf
    -0.63
    inventoryQuantity
    -0.60
    POSITIVE LOGITS
    ices
    0.85
    vich
    0.78
    encing
    0.77
    tarians
    0.77
    encers
    0.75
    verse
    0.73
    tarian
    0.73
    icient
    0.72
    teness
    0.71
    table
    0.71
    Activations Density 0.000%

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