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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    Explanations

    mentions of the word "Killer."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "killer whale" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ational
    -1.02
    bles
    -0.95
    ibly
    -0.92
    ional
    -0.91
    uration
    -0.88
    herty
    -0.83
    edu
    -0.80
    heny
    -0.80
    ourced
    -0.80
    ATIONAL
    -0.74
    POSITIVE LOGITS
    killer
    0.95
     whale
    0.94
     instinct
    0.91
     whales
    0.91
    knife
    0.81
     spree
    0.79
     killer
    0.78
     Whale
    0.74
    killers
    0.74
    killing
    0.73
    Activations Density 0.076%

    No Known Activations