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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. 22886
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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
    blance
    -0.71
    âĶĢâĶĢ
    -0.70
     sten
    -0.69
    ijn
    -0.68
    ilar
    -0.64
     reversed
    -0.64
    ivari
    -0.63
    à¦
    -0.63
    ASY
    -0.62
     .)
    -0.62
    POSITIVE LOGITS
    taker
    0.84
     Dinosaur
    0.71
     Grateful
    0.68
    pieces
    0.65
     Doodle
    0.64
    notes
    0.64
     Founding
    0.64
     Reef
    0.64
     Courtney
    0.63
    ributes
    0.63
    Activations Density 0.000%

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    This feature has no known activations.