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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. 557
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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
     senses
    -0.72
     oxide
    -0.71
    eatures
    -0.68
     looted
    -0.65
    uders
    -0.65
     buds
    -0.64
    ratulations
    -0.64
    orno
    -0.63
    gang
    -0.62
    otti
    -0.62
    POSITIVE LOGITS
     UNHCR
    0.80
    LCS
    0.77
     partName
    0.68
     Kub
    0.68
    rd
    0.67
     Kafka
    0.67
     Tiff
    0.67
    FT
    0.66
    gif
    0.65
    iary
    0.65
    Activations Density 0.000%

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