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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. 23586
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    Explanations

    references to ceremonial or traditional practices

    oai_token-act-pair · gpt-3.5-turbo

    references to rituals and their significance

    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
    upon
    -0.88
    gets
    -0.82
    clud
    -0.70
     Pik
    -0.68
    onne
    -0.64
    bring
    -0.63
     Kers
    -0.62
    hiro
    -0.61
     Straw
    -0.61
    crop
    -0.61
    POSITIVE LOGITS
     ritual
    1.11
     rituals
    1.10
     rites
    1.07
     Ritual
    1.01
    istically
    0.99
     rite
    0.98
     invocation
    0.86
    itual
    0.85
    aji
    0.84
     ceremonies
    0.83
    Activations Density 0.013%

    No Known Activations