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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. 15584
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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
    powder
    -0.74
     Develop
    -0.67
     Collider
    -0.67
     Primordial
    -0.65
     Belg
    -0.62
    fiction
    -0.61
     contains
    -0.61
     Bulgarian
    -0.58
     Transmission
    -0.58
     possesses
    -0.58
    POSITIVE LOGITS
    chio
    0.87
    issa
    0.71
    aney
    0.71
    raf
    0.67
    enegger
    0.67
    iked
    0.67
    uph
    0.67
    ña
    0.66
    entary
    0.66
    ibr
    0.66
    Activations Density 0.000%

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