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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. 10297
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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
    ividual
    -0.92
    uminati
    -0.75
    urus
    -0.71
     lenses
    -0.70
    olor
    -0.70
     Tradable
    -0.69
    liga
    -0.68
    umn
    -0.65
    olid
    -0.64
    creen
    -0.64
    POSITIVE LOGITS
    plane
    0.71
    bole
    0.69
    Hispanic
    0.68
    Prep
    0.65
    Pros
    0.64
    Winter
    0.62
    ¬¼
    0.61
    ERA
    0.61
    throp
    0.60
    False
    0.60
    Activations Density 0.000%

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