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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. 2-RES-JB
    11. 2791
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    RNA
    -0.77
    ãģį
    -0.75
    RN
    -0.74
    NESS
    -0.71
    Els
    -0.70
    Links
    -0.70
    rait
    -0.67
    bye
    -0.67
    Yan
    -0.66
    secondary
    -0.66
    POSITIVE LOGITS
     disapp
    0.70
     skim
    0.66
     decl
    0.65
     commuters
    0.64
     reluct
    0.63
     refreshing
    0.62
     appre
    0.61
     disg
    0.61
    inders
    0.61
     beverage
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.