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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. 6384
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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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    ilipp
    -0.84
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    ="#
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    "]=>
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     Rasmussen
    -0.73
    rarily
    -0.72
     Poly
    -0.70
    maxwell
    -0.69
    arov
    -0.68
    POSITIVE LOGITS
     belts
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    tips
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     booted
    0.65
     interfering
    0.64
     heels
    0.63
    formance
    0.63
     tatt
    0.62
    venge
    0.62
     boots
    0.61
     installations
    0.61
    Activations Density 0.000%

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