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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
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    Explanations

    mentions of weddings or marriage-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of brides and grooms in the context of weddings

    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
    ives
    -0.74
    ickr
    -0.71
    izoph
    -0.67
    uckles
    -0.66
    arios
    -0.62
     willpower
    -0.62
    ulhu
    -0.61
     Flavoring
    -0.60
    icago
    -0.60
    iew
    -0.60
    POSITIVE LOGITS
     Bride
    1.23
     bride
    1.02
    maid
    0.99
    Bride
    0.94
    glers
    0.89
    zilla
    0.88
    lia
    0.86
    nesday
    0.82
    esses
    0.81
    cake
    0.81
    Activations Density 0.008%

    No Known Activations