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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. 21263
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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
    olver
    -0.79
    ca
    -0.65
     Cohn
    -0.64
     ALE
    -0.64
     SX
    -0.62
    RH
    -0.62
     TRUMP
    -0.62
    CAN
    -0.61
    pmwiki
    -0.61
    é¾
    -0.61
    POSITIVE LOGITS
    neck
    0.77
    necess
    0.76
     orphans
    0.74
    reach
    0.71
    iciary
    0.70
     orphan
    0.69
    ardless
    0.69
     linen
    0.69
    edition
    0.68
    merce
    0.68
    Activations Density 0.000%

    No Known Activations

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