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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. 1-RES-JB
    11. 10217
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    morning
    -0.77
    porter
    -0.64
     maze
    -0.61
     background
    -0.61
     mog
    -0.59
    ndra
    -0.59
    sequence
    -0.59
    sembly
    -0.59
    crow
    -0.58
    Daily
    -0.58
    POSITIVE LOGITS
     Loyal
    0.68
     Riders
    0.68
     ACTIONS
    0.66
    ipolar
    0.65
     Tact
    0.62
    leans
    0.61
    witz
    0.61
    atz
    0.59
     tempered
    0.59
    amy
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.