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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. 6854
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    Explanations

    adjectives related to quantity or intensity

    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
    ufact
    -0.71
    ESCO
    -0.70
    heid
    -0.69
    gary
    -0.63
    orthy
    -0.61
    ental
    -0.61
    agate
    -0.60
     Telecommunications
    -0.60
    sburgh
    -0.59
    perature
    -0.59
    POSITIVE LOGITS
     of
    0.97
     nicer
    0.76
    ãĤ§
    0.70
    bos
    0.68
     smarter
    0.67
     different
    0.67
     worse
    0.67
     OF
    0.66
     Of
    0.65
     more
    0.65
    Activations Density 0.058%

    No Known Activations