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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. 9-RES-JB
    11. 3773
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     posit
    -0.80
    itably
    -0.71
    hazard
    -0.65
     releg
    -0.64
     carriers
    -0.63
     escort
    -0.62
     eleph
    -0.61
    HEAD
    -0.61
     Basketball
    -0.59
     Counsel
    -0.59
    POSITIVE LOGITS
    ered
    1.00
    ance
    0.97
    ancer
    0.96
    sv
    0.94
    erer
    0.90
    ecided
    0.90
    arb
    0.90
    inguished
    0.88
    owner
    0.87
    rained
    0.86
    Activations Density 0.049%

    No Known Activations