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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. 2-RES-JB
    11. 484
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    each
    -0.85
    Bron
    -0.79
    ogie
    -0.75
    amphetamine
    -0.74
    hemy
    -0.69
    uckland
    -0.69
    arak
    -0.68
     Aden
    -0.68
    usercontent
    -0.67
    cair
    -0.67
    POSITIVE LOGITS
     flavorful
    0.67
     pse
    0.64
     surprises
    0.63
     customizable
    0.61
    nesses
    0.60
     hopeful
    0.60
     organisms
    0.59
     contenders
    0.59
     interpretations
    0.59
     spoiled
    0.58
    Activations Density 0.000%

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