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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. 24136
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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
     fuzz
    -0.72
     drift
    -0.71
     stupidity
    -0.63
    danger
    -0.62
     mistakes
    -0.60
     trave
    -0.60
    ########
    -0.60
     cultivation
    -0.59
     todd
    -0.59
    ython
    -0.58
    POSITIVE LOGITS
    inth
    0.80
     Amen
    0.71
     Runner
    0.67
    oor
    0.67
    orative
    0.65
     Sponge
    0.65
    ENN
    0.65
     Conc
    0.64
    é£
    0.64
     Spa
    0.63
    Activations Density 0.000%

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