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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
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    Explanations

    words related to "ecumenical" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to ecumenism and religious discussions

    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
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    Negative Logits
     Chiefs
    -0.70
    ELL
    -0.70
     bye
    -0.68
     unnecess
    -0.65
     departments
    -0.64
     HIT
    -0.62
    à©
    -0.61
     Indians
    -0.61
     PAGE
    -0.60
    ORD
    -0.59
    POSITIVE LOGITS
    umen
    1.35
    ible
    1.09
    icals
    1.02
    ical
    0.99
    eous
    0.97
    emonic
    0.90
    atus
    0.86
    uble
    0.86
    ifer
    0.85
    ici
    0.84
    Activations Density 0.006%

    No Known Activations