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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. 3-RES-JB
    11. 20390
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itor
    -0.70
    icular
    -0.67
    inite
    -0.63
    Ķ
    -0.62
    ibrary
    -0.61
     subset
    -0.61
     collateral
    -0.61
     batches
    -0.59
     abduct
    -0.59
     quad
    -0.58
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.80
    otle
    0.72
    Golden
    0.72
    wic
    0.72
    YP
    0.69
    Slot
    0.68
    asketball
    0.66
    Phil
    0.66
    enegger
    0.66
    PLAY
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.