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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. 4-RES-JB
    11. 8564
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tradem
    -0.90
     denial
    -0.65
     conceal
    -0.64
     skelet
    -0.63
     perpetrated
    -0.63
     laun
    -0.62
     glim
    -0.61
     gobl
    -0.61
     excuses
    -0.60
     millenn
    -0.59
    POSITIVE LOGITS
    vantage
    0.79
     Curious
    0.72
     Turns
    0.72
     Clicker
    0.68
     Standing
    0.67
    pron
    0.67
    reb
    0.67
     Skydragon
    0.66
    PsyNetMessage
    0.65
     Kafka
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.