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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. 0-RES-JB
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    Explanations

    mentions of different churches, including specific ones and their activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the church

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.76
     Sensor
    -0.71
    )=(
    -0.70
     Detected
    -0.70
    enabled
    -0.69
    arer
    -0.68
    rod
    -0.67
    ï¸
    -0.67
    inator
    -0.67
    Input
    -0.66
    POSITIVE LOGITS
     church
    3.54
     Church
    2.67
     churches
    2.56
    Church
    2.49
    church
    2.38
     synagogue
    2.15
     Churches
    2.10
     chapel
    2.04
     parish
    1.94
     congregation
    1.94
    Activations Density 0.016%

    No Known Activations