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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. 1768
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    INDEX
    Explanations
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    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
    âĶģ
    -0.78
     Cosponsors
    -0.76
     Ratio
    -0.74
    engine
    -0.70
     Address
    -0.70
    ury
    -0.68
     BaseType
    -0.68
     Riv
    -0.67
    uries
    -0.67
     âĹ
    -0.66
    POSITIVE LOGITS
     vend
    0.74
     flo
    0.70
    engu
    0.67
     slump
    0.66
    tered
    0.65
    ucks
    0.64
    lp
    0.64
     Winston
    0.64
    wn
    0.63
     Jama
    0.61
    Activations Density 0.000%

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