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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of praying or requests for prayers

    oai_token-act-pair · gpt-3.5-turbo

    expressions of prayer and related sentiments

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

    No Comments

    Negative Logits
    transfer
    -0.89
    DragonMagazine
    -0.81
    Thom
    -0.71
    adies
    -0.71
    dated
    -0.71
     Flavoring
    -0.67
    CLA
    -0.66
    issues
    -0.64
    POR
    -0.64
    Beer
    -0.64
    POSITIVE LOGITS
     praying
    0.87
     mant
    0.84
    lication
    0.82
     aloud
    0.81
     prayer
    0.80
    asca
    0.79
     prayed
    0.77
     vigil
    0.75
     beads
    0.73
     pray
    0.71
    Activations Density 0.011%

    No Known Activations