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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. 4-RES-JB
    6. 20741
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    alogue
    -0.69
    opa
    -0.68
    ú
    -0.66
     coloured
    -0.66
    arity
    -0.66
     Soup
    -0.65
    phans
    -0.65
     newcom
    -0.64
    amped
    -0.63
    Shell
    -0.63
    POSITIVE LOGITS
     Skydragon
    0.74
    Adds
    0.70
    arro
    0.67
     Rossi
    0.66
     Strauss
    0.64
    ¶ħ
    0.64
    cock
    0.64
     Whedon
    0.62
     Gork
    0.61
    amide
    0.61
    Activations Density 0.000%

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