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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the sports team "Cardinals."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Cardinals" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WARD
    -0.83
    bered
    -0.80
    skirts
    -0.76
    qual
    -0.71
    UTC
    -0.71
    ween
    -0.70
    PE
    -0.69
    apes
    -0.68
    encer
    -0.68
    fit
    -0.67
    POSITIVE LOGITS
     Cardinals
    1.44
    inals
    0.86
     Seal
    0.81
     Cardinal
    0.80
     Lions
    0.75
    aurus
    0.75
     outfielder
    0.74
     Reds
    0.72
     Cards
    0.71
     catcher
    0.71
    Activations Density 0.006%

    No Known Activations