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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 5172
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    OUND
    -0.79
    pir
    -0.76
    ––
    -0.75
     AUTHOR
    -0.72
    âĸijâĸij
    -0.70
     +---
    -0.69
    GREEN
    -0.67
    VW
    -0.64
    ships
    -0.64
    IDER
    -0.64
    POSITIVE LOGITS
    akeru
    0.73
     Odin
    0.72
     gard
    0.71
    egal
    0.71
    hower
    0.68
    itary
    0.68
    lus
    0.64
    opa
    0.64
    las
    0.63
    geries
    0.62
    Activations Density 0.000%

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