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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. 4-RES-JB
    11. 4374
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Reilly
    -0.83
    reatment
    -0.72
    utic
    -0.66
    reat
    -0.65
    ogue
    -0.62
     cape
    -0.62
    hemoth
    -0.61
    MD
    -0.60
    exe
    -0.60
    izer
    -0.59
    POSITIVE LOGITS
    bidden
    0.76
    =-=-=-=-
    0.75
    lihood
    0.72
    ENDED
    0.68
    posted
    0.67
     Bridges
    0.66
     spiders
    0.66
     honored
    0.64
    teness
    0.64
     "$:/
    0.64
    Activations Density 0.000%

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