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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. 1-RES-JB
    11. 2433
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Clicker
    -0.68
     Decay
    -0.66
    agic
    -0.66
     AUD
    -0.64
     whistle
    -0.64
     flavored
    -0.62
     swirling
    -0.62
     latest
    -0.61
     piling
    -0.61
     lottery
    -0.60
    POSITIVE LOGITS
    ifa
    0.87
    qqa
    0.80
    helm
    0.78
    furt
    0.75
    perty
    0.73
    orus
    0.73
    ordes
    0.73
    kun
    0.72
    ornings
    0.72
    ":""},{"
    0.70
    Activations Density 0.000%

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