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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. 16629
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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
    tal
    -0.77
     Benz
    -0.71
     Bre
    -0.66
     Sang
    -0.66
    sung
    -0.65
    Aut
    -0.65
     Method
    -0.65
     Bian
    -0.64
     Sung
    -0.64
     Blanc
    -0.64
    POSITIVE LOGITS
    aukee
    1.03
    yrs
    0.80
    ulz
    0.72
    essee
    0.71
     shenan
    0.71
     overdue
    0.70
    paces
    0.67
    igators
    0.64
    iances
    0.64
    agascar
    0.64
    Activations Density 0.000%

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