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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. 3-RES-JB
    11. 24147
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    Explanations

    references to extraordinary events or phenomena

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "miracle" and its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivil
    -0.79
    resp
    -0.77
    ongyang
    -0.77
    orough
    -0.77
    irin
    -0.76
    atana
    -0.75
    gemony
    -0.75
    oln
    -0.73
    uggish
    -0.72
    agle
    -0.70
    POSITIVE LOGITS
     miracle
    1.05
     absor
    0.88
     Miracle
    0.87
    ulously
    0.85
     cures
    0.84
     heal
    0.83
     miracles
    0.80
     healing
    0.80
     cure
    0.80
     mirac
    0.73
    Activations Density 0.006%

    No Known Activations