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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. 12942
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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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    alam
    -0.71
    orian
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    dinand
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    phabet
    -0.70
    holm
    -0.70
    croft
    -0.70
    eries
    -0.69
    ijk
    -0.69
    lo
    -0.69
    arms
    -0.68
    POSITIVE LOGITS
    Contents
    0.69
     typical
    0.66
     Facts
    0.64
    Spring
    0.64
    orthodox
    0.64
    Ô
    0.63
     hindsight
    0.62
    Summary
    0.62
     retrospect
    0.60
     reactive
    0.60
    Activations Density 0.000%

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