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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the word "mus" or "musk" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the concept of "music" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bye
    -0.76
    BY
    -0.72
     Breach
    -0.66
     Highlander
    -0.66
    adra
    -0.65
    IENCE
    -0.65
     Fold
    -0.64
     Aval
    -0.63
     Ceres
    -0.63
     Frankfurt
    -0.62
    POSITIVE LOGITS
     mus
    1.14
    mus
    0.92
    lins
    0.87
    zai
    0.85
    ically
    0.84
    agogue
    0.83
    itionally
    0.82
    ubi
    0.81
    nesium
    0.80
    querque
    0.80
    Activations Density 0.003%

    No Known Activations