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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. 6-RES-JB
    11. 18673
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    Explanations

    references to religious or spiritual practices

    oai_token-act-pair · gpt-3.5-turbo

    references to prayer and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    transfer
    -0.72
    POR
    -0.67
    CLA
    -0.66
    )=(
    -0.65
    è¿
    -0.64
    lasses
    -0.63
     Cheong
    -0.62
    exclusive
    -0.62
     ASA
    -0.61
    æ©
    -0.60
    POSITIVE LOGITS
     prayers
    1.00
     prayer
    0.98
     beads
    0.93
     Prayer
    0.87
     vigil
    0.86
    lication
    0.86
     praying
    0.85
     aloud
    0.83
     mant
    0.81
     vig
    0.78
    Activations Density 0.024%

    No Known Activations