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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. 2-RES-JB
    11. 11046
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    Explanations

    references to rituals or ceremonial practices

    oai_token-act-pair · gpt-3.5-turbo

    references to rites or rituals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.05
    ivity
    -0.90
    ioned
    -0.90
    iveness
    -0.86
    ript
    -0.82
    ding
    -0.82
    TPPStreamerBot
    -0.82
    lisher
    -0.79
    pson
    -0.78
     behav
    -0.75
    POSITIVE LOGITS
     Rite
    0.74
     rite
    0.70
     knots
    0.70
     communion
    0.70
     Christ
    0.68
    gar
    0.68
     Pact
    0.66
    chwitz
    0.65
     cust
    0.65
     altar
    0.64
    Activations Density 0.024%

    No Known Activations