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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. 9-RES-JB
    6. 3886
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    Explanations

    adjectives related to intensity or enhancement

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Goo
    -0.63
    orers
    -0.62
    CLA
    -0.58
     zip
    -0.56
    opers
    -0.55
     craw
    -0.55
    ANGE
    -0.55
    emp
    -0.55
    lore
    -0.55
     CoC
    -0.53
    POSITIVE LOGITS
     by
    1.23
    by
    0.91
     BY
    0.88
    By
    0.87
     By
    0.83
     anew
    0.81
    igated
    0.77
     exponentially
    0.74
     aback
    0.73
    .</
    0.72
    Activations Density 0.148%

    No Known Activations