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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. 1799
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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
    ODE
    -0.83
    sonian
    -0.73
     CONTR
    -0.66
    IRE
    -0.66
    éŃĶ
    -0.66
    UFF
    -0.64
    ccording
    -0.63
    modules
    -0.63
    éļ
    -0.62
    CCC
    -0.62
    POSITIVE LOGITS
     anecd
    0.65
     Tonight
    0.64
    ash
    0.63
    ataka
    0.59
     chaired
    0.58
    iment
    0.57
     retrieval
    0.56
     glasses
    0.56
     Keen
    0.55
     Lat
    0.55
    Activations Density 0.000%

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    This feature has no known activations.