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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. 5-RES-JB
    6. 14059
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    Explanations

    phrases indicating speaking or quoting, typically at the end of a sentence

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "he said" conveying reported speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.68
    arnaev
    -0.67
    Bed
    -0.67
    andom
    -0.66
    Photos
    -0.62
    ertain
    -0.62
    tains
    -0.62
    Admin
    -0.61
    advertising
    -0.61
    cerning
    -0.61
    POSITIVE LOGITS
     goodbye
    0.79
     bluntly
    0.73
     sarcast
    0.72
     emphatically
    0.67
     passionately
    0.67
     afterwards
    0.65
     Schn
    0.65
     afterward
    0.64
     aloud
    0.62
     Rivera
    0.61
    Activations Density 0.147%

    No Known Activations