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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. 9-RES-JB
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    Explanations

    references to different forms of worship

    oai_token-act-pair · gpt-3.5-turbo

    terms related to worship practices and rituals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lans
    -0.71
     advoc
    -0.65
     Hust
    -0.65
     Rift
    -0.64
    izon
    -0.63
    aunder
    -0.62
     Zo
    -0.61
     accelerator
    -0.61
     Bagg
    -0.60
    oslov
    -0.59
    POSITIVE LOGITS
    eful
    0.94
     altar
    0.93
    ful
    0.93
    ificial
    0.93
     worship
    0.93
    lication
    0.92
    itual
    0.88
    fulness
    0.87
    ers
    0.85
    efully
    0.83
    Activations Density 0.047%

    No Known Activations