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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. 2526
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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
     recounts
    -0.69
     Ross
    -0.63
     chron
    -0.61
     Harrington
    -0.61
     Gloria
    -0.59
     et
    -0.58
     case
    -0.58
     restoration
    -0.58
     novel
    -0.58
    here
    -0.57
    POSITIVE LOGITS
    ancial
    0.93
    interstitial
    0.90
    oidal
    0.77
    obic
    0.76
    ococ
    0.75
    merce
    0.75
    aution
    0.75
    artisan
    0.75
    liv
    0.74
    Loading
    0.74
    Activations Density 0.000%

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