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

    mentions of speaking activities in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "speaking."

    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
    gradation
    -0.68
    ascade
    -0.68
    erenn
    -0.68
    ologne
    -0.67
    urses
    -0.66
    utsu
    -0.65
    %);
    -0.63
    zip
    -0.62
    strip
    -0.62
    nature
    -0.62
    POSITIVE LOGITS
     speakers
    0.94
     aloud
    0.93
     fluent
    0.86
     speaking
    0.85
    ophone
    0.85
     engagements
    0.83
    voice
    0.82
     speeches
    0.82
     chops
    0.81
    zai
    0.80
    Activations Density 0.008%

    No Known Activations