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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. 15590
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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
    ounter
    -0.72
    inventoryQuantity
    -0.70
    ndra
    -0.68
    ativity
    -0.63
     unloaded
    -0.63
    cycles
    -0.63
    irez
    -0.63
    soDeliveryDate
    -0.62
     dstg
    -0.62
     strict
    -0.59
    POSITIVE LOGITS
     Lansing
    0.69
    lator
    0.69
     Tradable
    0.63
    rust
    0.63
     Pret
    0.63
    sylv
    0.62
    ¯
    0.62
     Mex
    0.61
     prelim
    0.60
    Ire
    0.60
    Activations Density 0.000%

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