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

    proper nouns related to geographic locations, specifically those containing the word "Cape"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographic locations or places, particularly those starting with "Cape."

    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
    arial
    -0.85
    omen
    -0.80
    naires
    -0.71
    orno
    -0.71
    iances
    -0.69
    amine
    -0.69
    arily
    -0.67
    orically
    -0.66
    atically
    -0.65
    perse
    -0.64
    POSITIVE LOGITS
    llan
    1.01
     Cape
    0.97
     Canaveral
    0.95
    lla
    0.94
     Cod
    0.92
     Coast
    0.86
     Coral
    0.85
     Nam
    0.81
    reon
    0.78
     Pens
    0.74
    Activations Density 0.011%

    No Known Activations