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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. 0-RES-JB
    11. 12513
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     palate
    -0.74
    urally
    -0.66
     hostilities
    -0.65
     microphones
    -0.65
     backdrop
    -0.64
    CAST
    -0.61
     visas
    -0.59
     descent
    -0.58
     adversaries
    -0.58
     antagonists
    -0.58
    POSITIVE LOGITS
    wikipedia
    0.82
     WHEN
    0.76
    when
    0.73
    ards
    0.72
    digy
    0.71
    truth
    0.70
     when
    0.68
    Ont
    0.66
    pod
    0.64
    yy
    0.64
    Activations Density 0.000%

    No Known Activations

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