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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. 9468
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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
    wik
    -0.79
    DEF
    -0.75
     actionGroup
    -0.75
    âĵĺ
    -0.72
    target
    -0.71
    FTWARE
    -0.71
    GBT
    -0.70
     Izan
    -0.69
    idth
    -0.69
     Gandhi
    -0.69
    POSITIVE LOGITS
     choke
    0.84
     clears
    0.78
     Oaks
    0.75
     sucks
    0.73
     settles
    0.73
     paws
    0.71
     hurts
    0.71
     hides
    0.71
     disconnect
    0.69
     scrape
    0.69
    Activations Density 0.000%

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