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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. 9-RES-JB
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    Explanations

    instances of the word "prayer" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to prayer and religious activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )=(
    -0.76
    efficients
    -0.69
    transfer
    -0.67
    DragonMagazine
    -0.63
     Clone
    -0.61
    endum
    -0.60
    keye
    -0.60
    wide
    -0.59
     Polo
    -0.58
     Mamm
    -0.58
    POSITIVE LOGITS
     prayers
    1.18
     prayer
    1.18
     Prayer
    1.08
     vigil
    1.01
     praying
    1.00
     beads
    0.99
     prayed
    0.89
     pray
    0.88
     aloud
    0.86
     scripture
    0.86
    Activations Density 0.069%

    No Known Activations