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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. 18419
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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
    akin
    -0.72
    TIT
    -0.69
    NESS
    -0.67
    event
    -0.64
     Filip
    -0.63
     enthusi
    -0.62
    History
    -0.62
    okin
    -0.62
    alia
    -0.61
    ihad
    -0.61
    POSITIVE LOGITS
    aid
    0.74
    intendent
    0.70
    ptives
    0.70
     grips
    0.67
    dayName
    0.67
    xual
    0.66
    vious
    0.65
     Siri
    0.62
     Archdemon
    0.62
    amacare
    0.62
    Activations Density 0.000%

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