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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. 0-RES-JB
    11. 5194
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    gate
    -0.79
    nit
    -0.66
    stakes
    -0.62
    process
    -0.61
     mull
    -0.61
    mill
    -0.60
    acus
    -0.59
     Read
    -0.59
     Judges
    -0.59
    NAS
    -0.59
    POSITIVE LOGITS
    urally
    0.77
     Southeast
    0.76
    raviolet
    0.74
     payday
    0.73
    vernight
    0.71
     Beir
    0.71
    ciating
    0.68
    senal
    0.68
     AIR
    0.64
    monary
    0.64
    Activations Density 0.000%

    No Known Activations

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