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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. 7-RES-JB
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    Explanations

    references to religious worship practices

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and variations of the concept of worship and related practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Lans
    -0.77
     Mek
    -0.65
     Bagg
    -0.64
     Peel
    -0.61
     Kamp
    -0.60
     Hust
    -0.59
     Hurricanes
    -0.57
     STOR
    -0.57
     horizont
    -0.57
     Oslo
    -0.57
    POSITIVE LOGITS
    ful
    1.03
     worship
    0.99
    edIn
    0.97
    fulness
    0.97
    itual
    0.93
     altar
    0.92
    lication
    0.89
    eful
    0.88
    hovah
    0.88
    birds
    0.87
    Activations Density 0.034%

    No Known Activations