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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. 4-RES-JB
    11. 9127
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    Explanations

    references to religious institutions, particularly parishes and the Episcopal Church

    oai_token-act-pair · gpt-3.5-turbo

    references to religious institutions and their community activities

    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
    berman
    -1.10
    assetsadobe
    -0.79
    zeb
    -0.75
    zed
    -0.74
    uments
    -0.73
    ocaust
    -0.72
    zes
    -0.72
    ä
    -0.70
    ENGTH
    -0.69
    zing
    -0.68
    POSITIVE LOGITS
     parish
    0.96
    ion
    0.89
     priest
    0.89
     Parish
    0.85
     Borough
    0.78
    yard
    0.77
     Bapt
    0.77
    icularly
    0.76
     bapt
    0.74
     clergy
    0.73
    Activations Density 0.014%

    No Known Activations