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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. 2908
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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
     Paradise
    -0.90
    CLASSIFIED
    -0.74
     Grail
    -0.72
    ãģĤ
    -0.70
     UNCLASSIFIED
    -0.67
    VPN
    -0.67
     Budapest
    -0.66
     Jesuit
    -0.66
    ä½
    -0.64
    grave
    -0.64
    POSITIVE LOGITS
    ocard
    0.68
    athing
    0.67
     overse
    0.67
     snipp
    0.66
     markup
    0.66
     whiff
    0.65
     bond
    0.62
    onics
    0.62
     payable
    0.62
     repaid
    0.60
    Activations Density 0.000%

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