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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. 3-RES-JB
    11. 7014
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Evil
    -0.77
     Mutant
    -0.76
     Nietzsche
    -0.69
     Hegel
    -0.68
     GUN
    -0.68
    swick
    -0.68
    ishers
    -0.67
     Morph
    -0.67
    spir
    -0.66
    roots
    -0.66
    POSITIVE LOGITS
    atin
    0.77
    creen
    0.77
    cknowled
    0.74
    cale
    0.74
    urance
    0.73
    vasive
    0.71
    vati
    0.70
    trl
    0.67
    orry
    0.66
    VIDEO
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.