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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. 19018
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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
     Dough
    -0.68
    Ŀ
    -0.62
     Desmond
    -0.62
     Malays
    -0.61
     Guinness
    -0.59
     Rahman
    -0.59
    Rober
    -0.59
    heon
    -0.57
    arthed
    -0.56
     Liberia
    -0.56
    POSITIVE LOGITS
    ate
    0.85
    ements
    0.83
     istg
    0.81
    soever
    0.70
    '."
    0.68
    igans
    0.67
    amiya
    0.67
     secretary
    0.67
    atories
    0.65
    ement
    0.64
    Activations Density 0.000%

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