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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. 3-RES-JB
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    Explanations

    phrases expressing a wish or desire for assistance or well-being through prayer

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pray" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.82
    transfer
    -0.78
    Beer
    -0.78
    smoking
    -0.74
    Thom
    -0.70
    DragonMagazine
    -0.69
    hips
    -0.68
    Nap
    -0.68
    Ale
    -0.67
    swe
    -0.66
    POSITIVE LOGITS
     praying
    0.93
     pray
    0.86
     mant
    0.86
     prayed
    0.85
     prayer
    0.83
     aloud
    0.78
     vigil
    0.78
    asca
    0.77
    lication
    0.75
     beads
    0.74
    Activations Density 0.008%

    No Known Activations