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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. 0-RES-JB
    11. 8020
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    TPS
    -0.70
     Kaufman
    -0.68
     Roosevelt
    -0.65
     Crawford
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     Sheen
    -0.64
     Borders
    -0.64
     Pf
    -0.64
    /(
    -0.63
    TPP
    -0.63
     Wendy
    -0.63
    POSITIVE LOGITS
    merce
    0.98
     eleph
    0.78
    undai
    0.76
     describ
    0.76
     Recomm
    0.75
     GEAR
    0.72
    irements
    0.72
    ptions
    0.70
    etheless
    0.68
    earchers
    0.68
    Activations Density 0.000%

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